SEARCH ENGINES & SEARCHING

Our usability testing reveals that as many as 34% of users try to search for non-product content on e-commerce sites — yet 15% of e-commerce sites don't support it at all. See our latest test findings on user behavior relating to non-product search.

The first ethical search engine that protects biodiversity and support animal welfare

The previous post focused on how to determine the best autocomplete suggestions based on query probability and query performance. In this…

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Useful search suggestions lead to relevant results and are visually distinct from the query text. If appropriate, they include scope, thumbnails, or categories.

A sandbox of search design illustrations, including a pattern library for search and discovery.

Sease is a company specialising in information retrieval. We provide IR consulting services, training sessions for beginners and advanced professionals, and information retrieval tools and plugins.

Now that we can handle characters, let’s move on to words.

How data splitting can be done and why it is important for the offline evaluation of Learning to Rank models?

What is Learning to Rank? Learning to rank ties machine learning into the search engine relevance.

In this series, I’ve focused on the context of traditional search applications, which are the main beneficiaries of better query…

The most immediate context for a search query is a search session, a sequence of activities the searcher performs in order to pursue an…

Spelling correction is a must-have for any modern search engine. Estimates of the fraction of misspelled search queries vary, but a variety…

So far, we’ve focused on understanding searchers based entirely on the words they type into the search box. But search doesn’t occur in a…

In order to understand queries, it’s important to ground that understanding in a knowledge base. Two common ways to represent a knowledge…

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The previous two posts focused on using query rewriting to increase recall. We can also use query rewriting to increase precision — that…

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kurocore.com PIXIVイラストのキーワード/画像検索できる, kurocore.com keyword/image search of PIXIV illustration

🔍 Sese engine ui. 色色搜索引擎 UI. Contribute to YunYouJun/sese-engine-ui development by creating an account on GitHub.

Answer by Wolf Garbe, Founder SeekStorm (Search-as-a-Service) & FAROO (P2P Search)

Detailed records of searches underscore how much people reveal about themselves when they use search engines.

Automatic spelling correction, despite being worked on since the 70’s, remain hard to solve in the absence of significant user data.

The idea of modeling search as a conversation has been around for decades. One of the oldest ideas in information retrieval is relevance…

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