Are you over 18 and want to see adult content?
More Annotations
A complete backup of https://streetgames.org
Are you over 18 and want to see adult content?
A complete backup of https://eq2interface.com
Are you over 18 and want to see adult content?
A complete backup of https://luxescosmetics.com
Are you over 18 and want to see adult content?
A complete backup of https://weather-photography.com
Are you over 18 and want to see adult content?
A complete backup of https://rentals.ca
Are you over 18 and want to see adult content?
A complete backup of https://webbcountylulac.com
Are you over 18 and want to see adult content?
A complete backup of https://noloc.nl
Are you over 18 and want to see adult content?
A complete backup of https://slow-journalism.com
Are you over 18 and want to see adult content?
A complete backup of https://landanano.com
Are you over 18 and want to see adult content?
A complete backup of https://sunderlandcollege.ac.uk
Are you over 18 and want to see adult content?
A complete backup of https://foodpharmacy.blog
Are you over 18 and want to see adult content?
Favourite Annotations
A complete backup of https://noexam.com
Are you over 18 and want to see adult content?
A complete backup of https://13abc.com
Are you over 18 and want to see adult content?
A complete backup of https://tilegiant.co.uk
Are you over 18 and want to see adult content?
A complete backup of https://villeintelligente-mag.fr
Are you over 18 and want to see adult content?
A complete backup of https://ldsliving.com
Are you over 18 and want to see adult content?
A complete backup of https://doenetwork.org
Are you over 18 and want to see adult content?
A complete backup of https://scene4.com
Are you over 18 and want to see adult content?
A complete backup of https://meermanno.nl
Are you over 18 and want to see adult content?
A complete backup of https://nature-one.de
Are you over 18 and want to see adult content?
A complete backup of https://amsterdamroest.nl
Are you over 18 and want to see adult content?
Text
SEMANTICS3 BLOG
The Ecommerce Knowledge Graph - Semantics3 Labs. An Ecommerce knowledge graph built from Semantics3's Universal Product Catalog. Useful for exploring supply chain insights, brand profiles, compatible looks and more. Made possible by our crawling and extraction engines.Analysis Report.
UPC LOOKUP - SEMANTICS3 PRODUCT DATABASE / SEMANTICS3 Use our UPC Lookup tool to find product attributes for any UPC or barcode, including price, images and listings on various retailers. Easily do one-off UPC searches. USING AI TO AUTOMATE WEB CRAWLING BUILDING A PAID API OFFERING Building A Paid API Offering. In this post I am going to talk about how we built the backend infrastructure to support our Products API, Semantics3’s core product. This post can also be seen as a follow up or maybe even a reply to a post some time back by Zemanta, which dealt with building public APIs. In that post, the author suggests using WHY A DATA API IS BETTER THAN A DATABASE This is why an API is almost always better. You’ll get significant benefits in terms of reusability of the data and portability of your code, as well as avoiding coupling between your app and the database. In fact, by utilizing a database API that has a standardized form of query and response, you almost never have to worry about datamanagement.
ANATOMY OF HS CODES. The HS codes system has 21 sections covering 97 chapters. Each code consists of 3 pairs. The pairs are referred to as Chapter, Heading and Subheading respectively. The order of arrangement in based on their degree of manufacture. Within each chapter, the headings are also arranged based on the same principle. Chapters are broad levelcategories
EVOLUTION OF MOBILE PHONE INDUSTRY In this report, we’ll chart the progress of the mobile phone industry from the flip phones of the mid-90s to the smartphones of today. We’ll also look at the companies that shaped this evolution, and the forces that drove these changes. The data from this report comes from Semantics3’s Catalog for Mobile Phones (US and UK),unless
THE TRUE COST OF MAINTAINING AN UPDATED PRODUCT DATABASESEE MORE ONSEMANTICS3.COM
A SIMPLIFIED GUIDE TO GRPC IN PYTHON A simplified guide to gRPC in Python. Google’s gRPC provides a framework for implementing RPC (Remote Procedure Call) workflows. By layering on top of HTTP/2 and using protocol buffers, gRPC promises a lot of benefits over conventional REST+JSON APIs. grpc.io. Considering the promised goodies, I decided to get my hands dirty and roll gRPCfor
SEMANTICS3 - TARIFF CODES DEMO Semantics3 - Tariff Codes Demo. Mode. Product URL Product Description ASIN UPC. URL. Insurance (JMD) Shipping (JMD) Quantity (Nos.) Price (JMD) Calculating Taxes.SEMANTICS3 BLOG
The Ecommerce Knowledge Graph - Semantics3 Labs. An Ecommerce knowledge graph built from Semantics3's Universal Product Catalog. Useful for exploring supply chain insights, brand profiles, compatible looks and more. Made possible by our crawling and extraction engines.Analysis Report.
UPC LOOKUP - SEMANTICS3 PRODUCT DATABASE / SEMANTICS3 Use our UPC Lookup tool to find product attributes for any UPC or barcode, including price, images and listings on various retailers. Easily do one-off UPC searches. BUILDING A PAID API OFFERING Building A Paid API Offering. In this post I am going to talk about how we built the backend infrastructure to support our Products API, Semantics3’s core product. This post can also be seen as a follow up or maybe even a reply to a post some time back by Zemanta, which dealt with building public APIs. In that post, the author suggests using USING AI TO AUTOMATE WEB CRAWLING ANATOMY OF HS CODES. The HS codes system has 21 sections covering 97 chapters. Each code consists of 3 pairs. The pairs are referred to as Chapter, Heading and Subheading respectively. The order of arrangement in based on their degree of manufacture. Within each chapter, the headings are also arranged based on the same principle. Chapters are broad levelcategories
WHY A DATA API IS BETTER THAN A DATABASE This is why an API is almost always better. You’ll get significant benefits in terms of reusability of the data and portability of your code, as well as avoiding coupling between your app and the database. In fact, by utilizing a database API that has a standardized form of query and response, you almost never have to worry about datamanagement.
EVOLUTION OF MOBILE PHONE INDUSTRY In this report, we’ll chart the progress of the mobile phone industry from the flip phones of the mid-90s to the smartphones of today. We’ll also look at the companies that shaped this evolution, and the forces that drove these changes. The data from this report comes from Semantics3’s Catalog for Mobile Phones (US and UK),unless
THE TRUE COST OF MAINTAINING AN UPDATED PRODUCT DATABASESEE MORE ONSEMANTICS3.COM
A SIMPLIFIED GUIDE TO GRPC IN PYTHON A simplified guide to gRPC in Python. Google’s gRPC provides a framework for implementing RPC (Remote Procedure Call) workflows. By layering on top of HTTP/2 and using protocol buffers, gRPC promises a lot of benefits over conventional REST+JSON APIs. grpc.io. Considering the promised goodies, I decided to get my hands dirty and roll gRPCfor
SEMANTICS3 - TARIFF CODES DEMO Semantics3 - Tariff Codes Demo. Mode. Product URL Product Description ASIN UPC. URL. Insurance (JMD) Shipping (JMD) Quantity (Nos.) Price (JMD) Calculating Taxes. SEMANTICS3 DASHBOARD Login / Semantics3 Dashboard. - or -. Login using Github. Product data solutions to power the next generation of ecommerce. View products. ANATOMY OF HS CODES. The HS codes system has 21 sections covering 97 chapters. Each code consists of 3 pairs. The pairs are referred to as Chapter, Heading and Subheading respectively. The order of arrangement in based on their degree of manufacture. Within each chapter, the headings are also arranged based on the same principle. Chapters are broad levelcategories
A SIMPLIFIED GUIDE TO GRPC IN PYTHON A simplified guide to gRPC in Python. Google’s gRPC provides a framework for implementing RPC (Remote Procedure Call) workflows. By layering on top of HTTP/2 and using protocol buffers, gRPC promises a lot of benefits over conventional REST+JSON APIs. grpc.io. Considering the promised goodies, I decided to get my hands dirty and roll gRPCfor
PRODUCT CLASSIFICATION WITH AI: HOW MACHINE LEARNING SPED How is product categorization powered by AI? Product categorization is the backbone on which ecommerce runs smoothly. According to Govind, our AI research lead, the goal of AI-driven product categorization is to tag each of the hundreds of millions of products with a unique category ID.These category IDs could be derived from Semantics3's own category taxonomy or belonging to an external AN UNEXPECTED JOURNEY, A DBA’S TALE An unexpected journey, a DBA’s tale. One of our favorite databases for maintaining data at scale is Postgres. Being a data-centric business, we have come to rely heavily on the gentle giant and use it extensively across our entire platform. Currently, we run a majorityof
HS CODES SUPERCHARGED— MAP YOUR PRODUCT CATALOG TO ANY Semantics3’s AI-driven Categorization API can use inputs like name, brand, manufacturer, and description to map products to the Semantics3 Master Category Tree. Using this as a baseline, companies can map their products onto any target category tree, including target country HS, UNSPSC and tariff code taxonomies, as well as your own internal PRODUCT MATCHING: YOU’VE NOT HEARD OF IT, BUT ITS POWERING The answer lies in the science of Product Matching. The premise is very simple: given two products with all available data-points from each source, determine if these are actually identical products — the one and the same. In practice, this is a lot more difficult than REAL-TIME ANALYTICS USING POSTGRES Looks like materialized views don’t really enable us to provide real-time analytics when heavy write loads are to be expected. An alternate architecture to solve this problem, is to manually setup aggregate tables (caches) for existing data and keep track of incoming events separately (diff queues). It is easier to describe this setupusing
PARTITIONING IN POSTGRESQL Partitioning refers to splitting what is logically one large table into smaller physical pieces. The idea is to have a master logs table, and one child table for each month constrained on the timestamp of the request. Fortunately, Postgres supports partitioning out of the box and the concept of a constraint on the request timestamp materializes MAP (MINIMUM ADVERTISED PRICING) VIOLATION IS A LOT MORE MAP violation is a lot more widespread than you think. Take any electronic gadget you love, and chances are it’s being sold for less than MAP. This problem is a lot more widespread than you think, and manufacturers have scant resources on hand to tackle unauthorized sales. Research by Kellogg indicates that MAP violations are morelikely
SEMANTICS3 BLOG
The Ecommerce Knowledge Graph - Semantics3 Labs. An Ecommerce knowledge graph built from Semantics3's Universal Product Catalog. Useful for exploring supply chain insights, brand profiles, compatible looks and more. Made possible by our crawling and extraction engines.Analysis Report.
UPC LOOKUP - SEMANTICS3 PRODUCT DATABASE / SEMANTICS3 Use our UPC Lookup tool to find product attributes for any UPC or barcode, including price, images and listings on various retailers. Easily do one-off UPC searches. USING AI TO AUTOMATE WEB CRAWLING BUILDING A PAID API OFFERING Building A Paid API Offering. In this post I am going to talk about how we built the backend infrastructure to support our Products API, Semantics3’s core product. This post can also be seen as a follow up or maybe even a reply to a post some time back by Zemanta, which dealt with building public APIs. In that post, the author suggests using WHY A DATA API IS BETTER THAN A DATABASE This is why an API is almost always better. You’ll get significant benefits in terms of reusability of the data and portability of your code, as well as avoiding coupling between your app and the database. In fact, by utilizing a database API that has a standardized form of query and response, you almost never have to worry about datamanagement.
ANATOMY OF HS CODES. The HS codes system has 21 sections covering 97 chapters. Each code consists of 3 pairs. The pairs are referred to as Chapter, Heading and Subheading respectively. The order of arrangement in based on their degree of manufacture. Within each chapter, the headings are also arranged based on the same principle. Chapters are broad levelcategories
EVOLUTION OF MOBILE PHONE INDUSTRY In this report, we’ll chart the progress of the mobile phone industry from the flip phones of the mid-90s to the smartphones of today. We’ll also look at the companies that shaped this evolution, and the forces that drove these changes. The data from this report comes from Semantics3’s Catalog for Mobile Phones (US and UK),unless
THE TRUE COST OF MAINTAINING AN UPDATED PRODUCT DATABASESEE MORE ONSEMANTICS3.COM
A SIMPLIFIED GUIDE TO GRPC IN PYTHON A simplified guide to gRPC in Python. Google’s gRPC provides a framework for implementing RPC (Remote Procedure Call) workflows. By layering on top of HTTP/2 and using protocol buffers, gRPC promises a lot of benefits over conventional REST+JSON APIs. grpc.io. Considering the promised goodies, I decided to get my hands dirty and roll gRPCfor
SEMANTICS3 - TARIFF CODES DEMO Semantics3 - Tariff Codes Demo. Mode. Product URL Product Description ASIN UPC. URL. Insurance (JMD) Shipping (JMD) Quantity (Nos.) Price (JMD) Calculating Taxes.SEMANTICS3 BLOG
The Ecommerce Knowledge Graph - Semantics3 Labs. An Ecommerce knowledge graph built from Semantics3's Universal Product Catalog. Useful for exploring supply chain insights, brand profiles, compatible looks and more. Made possible by our crawling and extraction engines.Analysis Report.
UPC LOOKUP - SEMANTICS3 PRODUCT DATABASE / SEMANTICS3 Use our UPC Lookup tool to find product attributes for any UPC or barcode, including price, images and listings on various retailers. Easily do one-off UPC searches. USING AI TO AUTOMATE WEB CRAWLING BUILDING A PAID API OFFERING Building A Paid API Offering. In this post I am going to talk about how we built the backend infrastructure to support our Products API, Semantics3’s core product. This post can also be seen as a follow up or maybe even a reply to a post some time back by Zemanta, which dealt with building public APIs. In that post, the author suggests using WHY A DATA API IS BETTER THAN A DATABASE This is why an API is almost always better. You’ll get significant benefits in terms of reusability of the data and portability of your code, as well as avoiding coupling between your app and the database. In fact, by utilizing a database API that has a standardized form of query and response, you almost never have to worry about datamanagement.
ANATOMY OF HS CODES. The HS codes system has 21 sections covering 97 chapters. Each code consists of 3 pairs. The pairs are referred to as Chapter, Heading and Subheading respectively. The order of arrangement in based on their degree of manufacture. Within each chapter, the headings are also arranged based on the same principle. Chapters are broad levelcategories
EVOLUTION OF MOBILE PHONE INDUSTRY In this report, we’ll chart the progress of the mobile phone industry from the flip phones of the mid-90s to the smartphones of today. We’ll also look at the companies that shaped this evolution, and the forces that drove these changes. The data from this report comes from Semantics3’s Catalog for Mobile Phones (US and UK),unless
THE TRUE COST OF MAINTAINING AN UPDATED PRODUCT DATABASESEE MORE ONSEMANTICS3.COM
A SIMPLIFIED GUIDE TO GRPC IN PYTHON A simplified guide to gRPC in Python. Google’s gRPC provides a framework for implementing RPC (Remote Procedure Call) workflows. By layering on top of HTTP/2 and using protocol buffers, gRPC promises a lot of benefits over conventional REST+JSON APIs. grpc.io. Considering the promised goodies, I decided to get my hands dirty and roll gRPCfor
SEMANTICS3 - TARIFF CODES DEMO Semantics3 - Tariff Codes Demo. Mode. Product URL Product Description ASIN UPC. URL. Insurance (JMD) Shipping (JMD) Quantity (Nos.) Price (JMD) Calculating Taxes. SEMANTICS3 DASHBOARD Login / Semantics3 Dashboard. - or -. Login using Github. Product data solutions to power the next generation of ecommerce. View products. ANATOMY OF HS CODES. The HS codes system has 21 sections covering 97 chapters. Each code consists of 3 pairs. The pairs are referred to as Chapter, Heading and Subheading respectively. The order of arrangement in based on their degree of manufacture. Within each chapter, the headings are also arranged based on the same principle. Chapters are broad levelcategories
A SIMPLIFIED GUIDE TO GRPC IN PYTHON A simplified guide to gRPC in Python. Google’s gRPC provides a framework for implementing RPC (Remote Procedure Call) workflows. By layering on top of HTTP/2 and using protocol buffers, gRPC promises a lot of benefits over conventional REST+JSON APIs. grpc.io. Considering the promised goodies, I decided to get my hands dirty and roll gRPCfor
PRODUCT CLASSIFICATION WITH AI: HOW MACHINE LEARNING SPED How is product categorization powered by AI? Product categorization is the backbone on which ecommerce runs smoothly. According to Govind, our AI research lead, the goal of AI-driven product categorization is to tag each of the hundreds of millions of products with a unique category ID.These category IDs could be derived from Semantics3's own category taxonomy or belonging to an external AN UNEXPECTED JOURNEY, A DBA’S TALE An unexpected journey, a DBA’s tale. One of our favorite databases for maintaining data at scale is Postgres. Being a data-centric business, we have come to rely heavily on the gentle giant and use it extensively across our entire platform. Currently, we run a majorityof
HS CODES SUPERCHARGED— MAP YOUR PRODUCT CATALOG TO ANY Semantics3’s AI-driven Categorization API can use inputs like name, brand, manufacturer, and description to map products to the Semantics3 Master Category Tree. Using this as a baseline, companies can map their products onto any target category tree, including target country HS, UNSPSC and tariff code taxonomies, as well as your own internal PRODUCT MATCHING: YOU’VE NOT HEARD OF IT, BUT ITS POWERING The answer lies in the science of Product Matching. The premise is very simple: given two products with all available data-points from each source, determine if these are actually identical products — the one and the same. In practice, this is a lot more difficult than REAL-TIME ANALYTICS USING POSTGRES Looks like materialized views don’t really enable us to provide real-time analytics when heavy write loads are to be expected. An alternate architecture to solve this problem, is to manually setup aggregate tables (caches) for existing data and keep track of incoming events separately (diff queues). It is easier to describe this setupusing
PARTITIONING IN POSTGRESQL Partitioning refers to splitting what is logically one large table into smaller physical pieces. The idea is to have a master logs table, and one child table for each month constrained on the timestamp of the request. Fortunately, Postgres supports partitioning out of the box and the concept of a constraint on the request timestamp materializes MAP (MINIMUM ADVERTISED PRICING) VIOLATION IS A LOT MORE MAP violation is a lot more widespread than you think. Take any electronic gadget you love, and chances are it’s being sold for less than MAP. This problem is a lot more widespread than you think, and manufacturers have scant resources on hand to tackle unauthorized sales. Research by Kellogg indicates that MAP violations are morelikely
SEMANTICS3 BLOG
The Ecommerce Knowledge Graph - Semantics3 Labs. An Ecommerce knowledge graph built from Semantics3's Universal Product Catalog. Useful for exploring supply chain insights, brand profiles, compatible looks and more. Made possible by our crawling and extraction engines.Analysis Report.
USING AI TO AUTOMATE WEB CRAWLING EVOLUTION OF MOBILE PHONE INDUSTRY In this report, we’ll chart the progress of the mobile phone industry from the flip phones of the mid-90s to the smartphones of today. We’ll also look at the companies that shaped this evolution, and the forces that drove these changes. The data from this report comes from Semantics3’s Catalog for Mobile Phones (US and UK),unless
BUILDING A PAID API OFFERING Building A Paid API Offering. In this post I am going to talk about how we built the backend infrastructure to support our Products API, Semantics3’s core product. This post can also be seen as a follow up or maybe even a reply to a post some time back by Zemanta, which dealt with building public APIs. In that post, the author suggests using A SIMPLIFIED GUIDE TO GRPC IN PYTHON A simplified guide to gRPC in Python. Google’s gRPC provides a framework for implementing RPC (Remote Procedure Call) workflows. By layering on top of HTTP/2 and using protocol buffers, gRPC promises a lot of benefits over conventional REST+JSON APIs. grpc.io. Considering the promised goodies, I decided to get my hands dirty and roll gRPCfor
ANATOMY OF HS CODES. The HS codes system has 21 sections covering 97 chapters. Each code consists of 3 pairs. The pairs are referred to as Chapter, Heading and Subheading respectively. The order of arrangement in based on their degree of manufacture. Within each chapter, the headings are also arranged based on the same principle. Chapters are broad levelcategories
WHY A DATA API IS BETTER THAN A DATABASE This is why an API is almost always better. You’ll get significant benefits in terms of reusability of the data and portability of your code, as well as avoiding coupling between your app and the database. In fact, by utilizing a database API that has a standardized form of query and response, you almost never have to worry about datamanagement.
PARTITIONING IN POSTGRESQL SEMANTICS3 - TARIFF CODES DEMO Semantics3 - Tariff Codes Demo. Mode. Product URL Product Description ASIN UPC. URL. Insurance (JMD) Shipping (JMD) Quantity (Nos.) Price (JMD) Calculating Taxes. SEMANTICS3 - TARIFF CODES DEMO We have identified potential classifications for this product. Please choose the one you think is correct from this list for the most accurate estimates and click "Confirm". Your feedback helps us improve the decision engine over time.SEMANTICS3 BLOG
The Ecommerce Knowledge Graph - Semantics3 Labs. An Ecommerce knowledge graph built from Semantics3's Universal Product Catalog. Useful for exploring supply chain insights, brand profiles, compatible looks and more. Made possible by our crawling and extraction engines.Analysis Report.
USING AI TO AUTOMATE WEB CRAWLING EVOLUTION OF MOBILE PHONE INDUSTRY In this report, we’ll chart the progress of the mobile phone industry from the flip phones of the mid-90s to the smartphones of today. We’ll also look at the companies that shaped this evolution, and the forces that drove these changes. The data from this report comes from Semantics3’s Catalog for Mobile Phones (US and UK),unless
BUILDING A PAID API OFFERING Building A Paid API Offering. In this post I am going to talk about how we built the backend infrastructure to support our Products API, Semantics3’s core product. This post can also be seen as a follow up or maybe even a reply to a post some time back by Zemanta, which dealt with building public APIs. In that post, the author suggests using A SIMPLIFIED GUIDE TO GRPC IN PYTHON A simplified guide to gRPC in Python. Google’s gRPC provides a framework for implementing RPC (Remote Procedure Call) workflows. By layering on top of HTTP/2 and using protocol buffers, gRPC promises a lot of benefits over conventional REST+JSON APIs. grpc.io. Considering the promised goodies, I decided to get my hands dirty and roll gRPCfor
ANATOMY OF HS CODES. The HS codes system has 21 sections covering 97 chapters. Each code consists of 3 pairs. The pairs are referred to as Chapter, Heading and Subheading respectively. The order of arrangement in based on their degree of manufacture. Within each chapter, the headings are also arranged based on the same principle. Chapters are broad levelcategories
WHY A DATA API IS BETTER THAN A DATABASE This is why an API is almost always better. You’ll get significant benefits in terms of reusability of the data and portability of your code, as well as avoiding coupling between your app and the database. In fact, by utilizing a database API that has a standardized form of query and response, you almost never have to worry about datamanagement.
PARTITIONING IN POSTGRESQL SEMANTICS3 - TARIFF CODES DEMO Semantics3 - Tariff Codes Demo. Mode. Product URL Product Description ASIN UPC. URL. Insurance (JMD) Shipping (JMD) Quantity (Nos.) Price (JMD) Calculating Taxes. SEMANTICS3 - TARIFF CODES DEMO We have identified potential classifications for this product. Please choose the one you think is correct from this list for the most accurate estimates and click "Confirm". Your feedback helps us improve the decision engine over time. UPC LOOKUP - SEMANTICS3 PRODUCT DATABASE / SEMANTICS3 Use our UPC Lookup tool to find product attributes for any UPC or barcode, including price, images and listings on various retailers. Easily do one-off UPC searches. SEMANTICS3 - SEMANTICS3 BLOG Powering your ecommerce pricing strategy. Let’s say you sell Glow Pets Pillow Sets on your ecommerce store. Amazon is big. Omnichannel Amazon will be an even bigger, all-consuming giant. Amazon in 2017, is like Morgoth back in the day before Sauron turned up. A A SIMPLIFIED GUIDE TO GRPC IN PYTHON A simplified guide to gRPC in Python. Google’s gRPC provides a framework for implementing RPC (Remote Procedure Call) workflows. By layering on top of HTTP/2 and using protocol buffers, gRPC promises a lot of benefits over conventional REST+JSON APIs. grpc.io. Considering the promised goodies, I decided to get my hands dirty and roll gRPCfor
THE TRUE COST OF MAINTAINING AN UPDATED PRODUCT DATABASE The Semantics3 API provides access to a 60-million product database. This is 60 million unique products, which collectively consist of 4 BILLION offers that we track across the vast universe of ecommerce retailers. That’s an average of 66.7 offers per unique product (a unique product would be The iPhone 6; not an iPhone 6 from Bestbuy or THE GIGO PRINCIPLE IN MACHINE LEARNING “The Gossips” — Norman Rockwell And its implications for PMs, designers, salespeople and data scientists. Garbage-In-Garbage-Out is the idea that the output of an algorithm, or any computer function for that matter, is only as good as the quality of the input that it receives.. The principle underlying GIGO is essential when it comes to the real world deployment of algorithms. PARTITIONING IN POSTGRESQL Partitioning refers to splitting what is logically one large table into smaller physical pieces. The idea is to have a master logs table, and one child table for each month constrained on the timestamp of the request. Fortunately, Postgres supports partitioning out of the box and the concept of a constraint on the request timestamp materializes THE PITFALLS OF MISPLACED PRODUCT MESSAGING Credits to Tekkoontan. Had you had visited semantics3.com back in early 2014, you would’ve been greeted with the following message:. 2 billion prices from 35 million products” The lead tagline on the front page of your website really sets the tone — and looking back, I can clearly see how inaccurate our product messaging and consequently, strategy were: HS CODES SUPERCHARGED— MAP YOUR PRODUCT CATALOG TO ANY Semantics3’s AI-driven Categorization API can use inputs like name, brand, manufacturer, and description to map products to the Semantics3 Master Category Tree. Using this as a baseline, companies can map their products onto any target category tree, including target country HS, UNSPSC and tariff code taxonomies, as well as your own internal ECOMMERCE MARKETPLACES HAVE A PRODUCT CONTENT PROBLEM, AND Ecommerce marketplaces have a product content problem, and it's killing them. It is the best of times, it is the worst of times. At the point of writing, there are approximately 40–50 ecommerce marketplaces available online, globally. And there’s more coming online every year. Linnworks. WEB SCRAPING IN PERL USING MOJO::DOM Web scraping involves extracting data from websites and presenting it in a meaningful format. But raw HTML is unstructured and is often very difficult to extract contents from.SEMANTICS3 BLOG
The Ecommerce Knowledge Graph - Semantics3 Labs. An Ecommerce knowledge graph built from Semantics3's Universal Product Catalog. Useful for exploring supply chain insights, brand profiles, compatible looks and more. Made possible by our crawling and extraction engines.Analysis Report.
UPC LOOKUP - SEMANTICS3 PRODUCT DATABASE / SEMANTICS3 Use our UPC Lookup tool to find product attributes for any UPC or barcode, including price, images and listings on various retailers. Easily do one-off UPC searches. USING AI TO AUTOMATE WEB CRAWLING SEMANTICS3 DASHBOARD Login / Semantics3 Dashboard. - or -. Login using Github. Product data solutions to power the next generation of ecommerce. View products. ANATOMY OF HS CODES. The HS codes system has 21 sections covering 97 chapters. Each code consists of 3 pairs. The pairs are referred to as Chapter, Heading and Subheading respectively. The order of arrangement in based on their degree of manufacture. Within each chapter, the headings are also arranged based on the same principle. Chapters are broad levelcategories
BUILDING A PAID API OFFERING Building A Paid API Offering. In this post I am going to talk about how we built the backend infrastructure to support our Products API, Semantics3’s core product. This post can also be seen as a follow up or maybe even a reply to a post some time back by Zemanta, which dealt with building public APIs. In that post, the author suggests using A SIMPLIFIED GUIDE TO GRPC IN PYTHON A simplified guide to gRPC in Python. Google’s gRPC provides a framework for implementing RPC (Remote Procedure Call) workflows. By layering on top of HTTP/2 and using protocol buffers, gRPC promises a lot of benefits over conventional REST+JSON APIs. grpc.io. Considering the promised goodies, I decided to get my hands dirty and roll gRPCfor
WHY A DATA API IS BETTER THAN A DATABASE This is why an API is almost always better. You’ll get significant benefits in terms of reusability of the data and portability of your code, as well as avoiding coupling between your app and the database. In fact, by utilizing a database API that has a standardized form of query and response, you almost never have to worry about datamanagement.
THE TRUE COST OF MAINTAINING AN UPDATED PRODUCT DATABASESEE MORE ONSEMANTICS3.COM
SEMANTICS3 - TARIFF CODES DEMO Semantics3 - Tariff Codes Demo. Mode. Product URL Product Description ASIN UPC. URL. Insurance (JMD) Shipping (JMD) Quantity (Nos.) Price (JMD) Calculating Taxes.SEMANTICS3 BLOG
The Ecommerce Knowledge Graph - Semantics3 Labs. An Ecommerce knowledge graph built from Semantics3's Universal Product Catalog. Useful for exploring supply chain insights, brand profiles, compatible looks and more. Made possible by our crawling and extraction engines.Analysis Report.
UPC LOOKUP - SEMANTICS3 PRODUCT DATABASE / SEMANTICS3 Use our UPC Lookup tool to find product attributes for any UPC or barcode, including price, images and listings on various retailers. Easily do one-off UPC searches. USING AI TO AUTOMATE WEB CRAWLING SEMANTICS3 DASHBOARD Login / Semantics3 Dashboard. - or -. Login using Github. Product data solutions to power the next generation of ecommerce. View products. ANATOMY OF HS CODES. The HS codes system has 21 sections covering 97 chapters. Each code consists of 3 pairs. The pairs are referred to as Chapter, Heading and Subheading respectively. The order of arrangement in based on their degree of manufacture. Within each chapter, the headings are also arranged based on the same principle. Chapters are broad levelcategories
BUILDING A PAID API OFFERING Building A Paid API Offering. In this post I am going to talk about how we built the backend infrastructure to support our Products API, Semantics3’s core product. This post can also be seen as a follow up or maybe even a reply to a post some time back by Zemanta, which dealt with building public APIs. In that post, the author suggests using A SIMPLIFIED GUIDE TO GRPC IN PYTHON A simplified guide to gRPC in Python. Google’s gRPC provides a framework for implementing RPC (Remote Procedure Call) workflows. By layering on top of HTTP/2 and using protocol buffers, gRPC promises a lot of benefits over conventional REST+JSON APIs. grpc.io. Considering the promised goodies, I decided to get my hands dirty and roll gRPCfor
WHY A DATA API IS BETTER THAN A DATABASE This is why an API is almost always better. You’ll get significant benefits in terms of reusability of the data and portability of your code, as well as avoiding coupling between your app and the database. In fact, by utilizing a database API that has a standardized form of query and response, you almost never have to worry about datamanagement.
THE TRUE COST OF MAINTAINING AN UPDATED PRODUCT DATABASESEE MORE ONSEMANTICS3.COM
SEMANTICS3 - TARIFF CODES DEMO Semantics3 - Tariff Codes Demo. Mode. Product URL Product Description ASIN UPC. URL. Insurance (JMD) Shipping (JMD) Quantity (Nos.) Price (JMD) Calculating Taxes.SEMANTICS3 BLOG
The Ecommerce Knowledge Graph - Semantics3 Labs. An Ecommerce knowledge graph built from Semantics3's Universal Product Catalog. Useful for exploring supply chain insights, brand profiles, compatible looks and more. Made possible by our crawling and extraction engines.Analysis Report.
SEMANTICS3 DASHBOARD Login / Semantics3 Dashboard. - or -. Login using Github. Product data solutions to power the next generation of ecommerce. View products. THE ECOMMERCE KNOWLEDGE GRAPH The Ecommerce Knowledge Graph - Semantics3 Labs. Over the past 7 years, we've built an extensive Universal Product Catalog, by curating and understanding public data from across the public e-commerce web. This includes information about 100s of millions of products, ~1000 standardized attribute types, billions of attribute values and tens of AN UNEXPECTED JOURNEY, A DBA’S TALE An unexpected journey, a DBA’s tale. One of our favorite databases for maintaining data at scale is Postgres. Being a data-centric business, we have come to rely heavily on the gentle giant and use it extensively across our entire platform. Currently, we run a majorityof
THE TRUE COST OF MAINTAINING AN UPDATED PRODUCT DATABASE The Semantics3 API provides access to a 60-million product database. This is 60 million unique products, which collectively consist of 4 BILLION offers that we track across the vast universe of ecommerce retailers. That’s an average of 66.7 offers per unique product (a unique product would be The iPhone 6; not an iPhone 6 from Bestbuy or REAL-TIME ANALYTICS USING POSTGRES Looks like materialized views don’t really enable us to provide real-time analytics when heavy write loads are to be expected. An alternate architecture to solve this problem, is to manually setup aggregate tables (caches) for existing data and keep track of incoming events separately (diff queues). It is easier to describe this setupusing
PARTITIONING IN POSTGRESQL Partitioning refers to splitting what is logically one large table into smaller physical pieces. The idea is to have a master logs table, and one child table for each month constrained on the timestamp of the request. Fortunately, Postgres supports partitioning out of the box and the concept of a constraint on the request timestamp materializes AI-BASED HTS CODE CLASSIFICATION: 5 TECHNICAL IDEAS FOR AI-based HTS Code Classification: 5 Technical Ideas for Building Solutions that Work. Imports, exports and tariffs are quite the theme in the news these days, be it in the context of Brexit, the US-China trade war or the Iran nuclear deal. Executive decisions on what duties should be levied on goods crossing borders are the norm of the day. HS CODES SUPERCHARGED— MAP YOUR PRODUCT CATALOG TO ANY Semantics3’s AI-driven Categorization API can use inputs like name, brand, manufacturer, and description to map products to the Semantics3 Master Category Tree. Using this as a baseline, companies can map their products onto any target category tree, including target country HS, UNSPSC and tariff code taxonomies, as well as your own internal PRODUCT MATCHING: YOU’VE NOT HEARD OF IT, BUT ITS POWERING The answer lies in the science of Product Matching. The premise is very simple: given two products with all available data-points from each source, determine if these are actually identical products — the one and the same. In practice, this is a lot more difficult thanSEMANTICS3 BLOG
The Ecommerce Knowledge Graph - Semantics3 Labs. An Ecommerce knowledge graph built from Semantics3's Universal Product Catalog. Useful for exploring supply chain insights, brand profiles, compatible looks and more. Made possible by our crawling and extraction engines.Analysis Report.
USING AI TO AUTOMATE WEB CRAWLING A SIMPLIFIED GUIDE TO GRPC IN PYTHON A simplified guide to gRPC in Python. Google’s gRPC provides a framework for implementing RPC (Remote Procedure Call) workflows. By layering on top of HTTP/2 and using protocol buffers, gRPC promises a lot of benefits over conventional REST+JSON APIs. grpc.io. Considering the promised goodies, I decided to get my hands dirty and roll gRPCfor
EVOLUTION OF MOBILE PHONE INDUSTRY In this report, we’ll chart the progress of the mobile phone industry from the flip phones of the mid-90s to the smartphones of today. We’ll also look at the companies that shaped this evolution, and the forces that drove these changes. The data from this report comes from Semantics3’s Catalog for Mobile Phones (US and UK),unless
BUILDING A PAID API OFFERING Building A Paid API Offering. In this post I am going to talk about how we built the backend infrastructure to support our Products API, Semantics3’s core product. This post can also be seen as a follow up or maybe even a reply to a post some time back by Zemanta, which dealt with building public APIs. In that post, the author suggests using ANATOMY OF HS CODES. The HS codes system has 21 sections covering 97 chapters. Each code consists of 3 pairs. The pairs are referred to as Chapter, Heading and Subheading respectively. The order of arrangement in based on their degree of manufacture. Within each chapter, the headings are also arranged based on the same principle. Chapters are broad levelcategories
WHY A DATA API IS BETTER THAN A DATABASE This is why an API is almost always better. You’ll get significant benefits in terms of reusability of the data and portability of your code, as well as avoiding coupling between your app and the database. In fact, by utilizing a database API that has a standardized form of query and response, you almost never have to worry about datamanagement.
PARTITIONING IN POSTGRESQL SEMANTICS3 - TARIFF CODES DEMO Semantics3 - Tariff Codes Demo. Mode. Product URL Product Description ASIN UPC. URL. Insurance (JMD) Shipping (JMD) Quantity (Nos.) Price (JMD) Calculating Taxes. SEMANTICS3 - TARIFF CODES DEMO We have identified potential classifications for this product. Please choose the one you think is correct from this list for the most accurate estimates and click "Confirm". Your feedback helps us improve the decision engine over time.SEMANTICS3 BLOG
The Ecommerce Knowledge Graph - Semantics3 Labs. An Ecommerce knowledge graph built from Semantics3's Universal Product Catalog. Useful for exploring supply chain insights, brand profiles, compatible looks and more. Made possible by our crawling and extraction engines.Analysis Report.
USING AI TO AUTOMATE WEB CRAWLING A SIMPLIFIED GUIDE TO GRPC IN PYTHON A simplified guide to gRPC in Python. Google’s gRPC provides a framework for implementing RPC (Remote Procedure Call) workflows. By layering on top of HTTP/2 and using protocol buffers, gRPC promises a lot of benefits over conventional REST+JSON APIs. grpc.io. Considering the promised goodies, I decided to get my hands dirty and roll gRPCfor
EVOLUTION OF MOBILE PHONE INDUSTRY In this report, we’ll chart the progress of the mobile phone industry from the flip phones of the mid-90s to the smartphones of today. We’ll also look at the companies that shaped this evolution, and the forces that drove these changes. The data from this report comes from Semantics3’s Catalog for Mobile Phones (US and UK),unless
BUILDING A PAID API OFFERING Building A Paid API Offering. In this post I am going to talk about how we built the backend infrastructure to support our Products API, Semantics3’s core product. This post can also be seen as a follow up or maybe even a reply to a post some time back by Zemanta, which dealt with building public APIs. In that post, the author suggests using ANATOMY OF HS CODES. The HS codes system has 21 sections covering 97 chapters. Each code consists of 3 pairs. The pairs are referred to as Chapter, Heading and Subheading respectively. The order of arrangement in based on their degree of manufacture. Within each chapter, the headings are also arranged based on the same principle. Chapters are broad levelcategories
WHY A DATA API IS BETTER THAN A DATABASE This is why an API is almost always better. You’ll get significant benefits in terms of reusability of the data and portability of your code, as well as avoiding coupling between your app and the database. In fact, by utilizing a database API that has a standardized form of query and response, you almost never have to worry about datamanagement.
PARTITIONING IN POSTGRESQL SEMANTICS3 - TARIFF CODES DEMO Semantics3 - Tariff Codes Demo. Mode. Product URL Product Description ASIN UPC. URL. Insurance (JMD) Shipping (JMD) Quantity (Nos.) Price (JMD) Calculating Taxes. SEMANTICS3 - TARIFF CODES DEMO We have identified potential classifications for this product. Please choose the one you think is correct from this list for the most accurate estimates and click "Confirm". Your feedback helps us improve the decision engine over time. UPC LOOKUP - SEMANTICS3 PRODUCT DATABASE / SEMANTICS3 Use our UPC Lookup tool to find product attributes for any UPC or barcode, including price, images and listings on various retailers. Easily do one-off UPC searches. SEMANTICS3 - SEMANTICS3 BLOG Powering your ecommerce pricing strategy. Let’s say you sell Glow Pets Pillow Sets on your ecommerce store. Amazon is big. Omnichannel Amazon will be an even bigger, all-consuming giant. Amazon in 2017, is like Morgoth back in the day before Sauron turned up. A A SIMPLIFIED GUIDE TO GRPC IN PYTHON A simplified guide to gRPC in Python. Google’s gRPC provides a framework for implementing RPC (Remote Procedure Call) workflows. By layering on top of HTTP/2 and using protocol buffers, gRPC promises a lot of benefits over conventional REST+JSON APIs. grpc.io. Considering the promised goodies, I decided to get my hands dirty and roll gRPCfor
BUILDING A PAID API OFFERING Building A Paid API Offering. In this post I am going to talk about how we built the backend infrastructure to support our Products API, Semantics3’s core product. This post can also be seen as a follow up or maybe even a reply to a post some time back by Zemanta, which dealt with building public APIs. In that post, the author suggests using THE TRUE COST OF MAINTAINING AN UPDATED PRODUCT DATABASE The Semantics3 API provides access to a 60-million product database. This is 60 million unique products, which collectively consist of 4 BILLION offers that we track across the vast universe of ecommerce retailers. That’s an average of 66.7 offers per unique product (a unique product would be The iPhone 6; not an iPhone 6 from Bestbuy or AI-BASED HTS CODE CLASSIFICATION: 5 TECHNICAL IDEAS FOR AI-based HTS Code Classification: 5 Technical Ideas for Building Solutions that Work. Imports, exports and tariffs are quite the theme in the news these days, be it in the context of Brexit, the US-China trade war or the Iran nuclear deal. Executive decisions on what duties should be levied on goods crossing borders are the norm of the day. E-COMMERCE IN THE YEAR 2025: DRONES, ORACLES AND BLOCK-CHAINS E-commerce has come a long way in the last 10 years. Same day grocery delivery, catalogues spanning hundreds of millions of products, seamless payment gateways, ad retargeting, dynamic repricing and predictive analytics have changed the landscape considerably for both consumers and businesses. As average consumer spend increases and as businesses strive to keep pace with the innovations of the HS CODES SUPERCHARGED— MAP YOUR PRODUCT CATALOG TO ANY Semantics3’s AI-driven Categorization API can use inputs like name, brand, manufacturer, and description to map products to the Semantics3 Master Category Tree. Using this as a baseline, companies can map their products onto any target category tree, including target country HS, UNSPSC and tariff code taxonomies, as well as your own internal ECOMMERCE MARKETPLACES HAVE A PRODUCT CONTENT PROBLEM, AND Ecommerce marketplaces have a product content problem, and it's killing them. It is the best of times, it is the worst of times. At the point of writing, there are approximately 40–50 ecommerce marketplaces available online, globally. And there’s more coming online every year. Linnworks. WEB SCRAPING IN PERL USING MOJO::DOM Web scraping involves extracting data from websites and presenting it in a meaningful format. But raw HTML is unstructured and is often very difficult to extract contents from.Industries
Marketplaces LogisticsBrands Technology
blog About Us
Login Talk To Us
Industries
Marketplaces LogisticsBrands Technology
blog About Us
Login Talk To Us
THE DATA & AI PLATFORM FOR ECOMMERCE AND LOGISTICS Catalog and competitive intelligence for ecommerce marketplaces. Customs risk assessment and revenue management for logistics.LEARN MORE
Check out the Semantics3 UPC Lookup Tool - the most comprehensive UPC & barcode lookup available anywhere. ECOMMERCE MARKETPLACES Create better product listings using our attribute extraction technology and Universal Product Catalog database. MARKETPLACE SOLUTIONS → LOGISTICS & FREIGHT HTS code, price and weight estimation for risk assessment. Make better decisions using public data and AI systems. LOGISTICS SOLUTIONS →BRANDS
Stay ahead of the competition with real-time dashboards for price tracking, market share data and trends spotting.BRAND SOLUTIONS →
EXPLORE OUR SOLUTIONS SCHEDULE A CALL GET FREE API ACCESSFROM OUR BLOG
read more
September 8, 2019
How AI and Web Crawling can Empower Customs Risk Management Teams Customs agencies across the globe are waking up to a new challenge — rapidly growing volumes of international small package shipments.December 9, 2018
How to Launch and Maintain Enterprise AI Products There is a significant disconnect between the perception and reality of how enterprise AI products are built.December 2, 2018
Deriving Meaning through Machine Learning: The Next Chapter in Retail Across industries, machine learning is helping us get to successive levels of meaning of what a thing is.API Status Blog
Documentation TechnologyAbout Us Careers
Privacy
Terms
INDUSTRIES MarketplacesLogistics Brands
HS CODES
United States
Canada United KingdomGlossary Q&A TOOLS
UPC Lookup Free
HS Code Lookup Free
SOLUTIONS FOR MARKETPLACES Ecommerce Search Retailer SKU Lookups Barcode & UPC Lookups PIM & MDM systems PCM and Enrichment Services Solutions for logistics Product Classification & TaxonomyTariff & Logistics
Solutions Procurement Solutions Solutions for BrandsBrand Intelligence
Ecommerce Price Research CPG & FMCG ResearchPRODUCTS UPC API
Crawl API
Keyword API
Retailer Feeds API
Price Monitoring APIEnterprise API
AI POWERED APIs
Categorization API
Features API
Matching API
BRANDS
Product Console
Price Monitoring
Market Share
2020 Semantics3 Inc. contactus@semantics3.com
Schedule a Call
Details
Copyright © 2024 ArchiveBay.com. All rights reserved. Terms of Use | Privacy Policy | DMCA | 2021 | Feedback | Advertising | RSS 2.0