Search Query Embeddings using query2vec
Discovery and understanding of a product catalog is an important part of any e-commerce business. The traditional — and difficult — method…
ABOUT SEARCHING AND SEARCH PRACTICIES
Etsy Engineering | Targeting Broad Queries in Search
We’ve just launched some big improvements to the treatment of broad queries like “father’s day,” “upcycled,” or “boho...
Etsy Engineering | How Etsy Uses Thermodynamics to Help You Search for
Etsy shoppers love the large and diverse selection of our marketplace. But, for those who don’t know exactly what they’re...
Etsy Engineering | Modeling Spelling Correction for Search at Etsy
Introduction When a user searches for an item on Etsy, they don't always type what they mean. Sometimes they type the query jewlery...
Keyword Extraction using RAKE
If you’ve ever wanted to know what a document or piece of text is about without reading the entire thing, you’ll be glad to know you can do so using keywords. Keywords, in this con…
Amazon SEO Explained: How to Rank Your Products #1 in 2020
Discover how to quickly rank your products #1 in Amazon search results. The ultimate guide to learning all the newest ways to increase sales on Amazon.
Discover How Cassini (The eBay Search Engine) Works and Rank #1
eBay search engine secrets revealed! Learn how to get your listing to the top eBay results and increase eBay sales by 300%. eBay experts explain.
Broad and Ambiguous Search Queries
For many search queries, it’s sufficient to rank a set of matching results. But broad and ambiguous queries require a more complex approach.
On Search Leadership
Hiring engineering and product leaders for search is hard. If you have to prioritize, which should you hire first?
Searching for Goldilocks
Many search queries don’t have a single right answer or even an objective best answer. For example, if you’re looking for mailboxes or…
Thoughts on Search Result Diversity
When is search result diversity appropriate? How do you implement it? And how do you trade off result diversity against result desirability?
AOL search log release - Wikipedia
Discounted cumulative gain - Wikipedia
Evaluation measures (information retrieval) - Wikipedia
F-score - Wikipedia
Mean reciprocal rank - Wikipedia
Personal data - Wikipedia
Precision and recall - Wikipedia
Russian warship, go fuck yourself - Wikipedia
Food Discovery with Uber Eats: Building a Query Understanding Engine | Uber Blog
If I Only Had an (Enterprise Search) Brain: Behind the Wizardry of a Seamless Search Experience - Enterprise Knowledge
Search analytics, content reports, and user feedback are tools to measure and improve the quality of enterprise search.
Integrating Search and Knowledge Graphs Series Part 1: Displaying Relationships - Enterprise Knowledge
A knowledge graph consists of nodes (entities) and edges (relationships), and provides a means to model your domain.
Optimizing Your Search Experience: A Human-Centered Approach to Search Design - Enterprise Knowledge
Having a deep understanding of people's behaviors, tendencies, needs, desires, and frustrations is important when designing a search solution.
The Role of Search Product Owners - Enterprise Knowledge
The Search PO is the champion who makes sure that the enteprise search initiative meets the needs of the users and the organization.
Patterns for Personalization in Recommendations and Search
A whirlwind tour of bandits, embedding+MLP, sequences, graph, and user embeddings.
data-science-interviews/theory.md at master · alexeygrigorev/data-science-interviews
GitHub - bakwc/JamSpell: Modern spell checking library - accurate, fast, multi-language
Modern spell checking library - accurate, fast, multi-language
GitHub - castorini/docTTTTTquery: docTTTTTquery document expansion model
docTTTTTquery document expansion model. Contribute to castorini/docTTTTTquery development by creating an account on GitHub.
GitHub - codelibs/fess: Fess is very powerful and easily deployable Enterprise Search Server.
Fess is very powerful and easily deployable Enterprise Search Server.
GitHub - deepset-ai/haystack: Haystack is an open source NLP framework that leverages pre-trained Transformer models. It enables developers to quickly implement production-ready semantic search, question answering, summarization and document ranking for a wide range of NLP applications.
:mag: LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with yo...