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Ranking of query is one of the fundamental problems in information retrieval (IR), [1] the scientific/engineering discipline behind search engines. [2] Given a query q and a collection D of documents that match the query, the problem is to rank, that is, sort, the documents in D according to some criterion so that the "best" results appear early in the result list displayed to the user.
Commercial web search engines began using machine-learned ranking systems since the 2000s (decade). One of the first search engines to start using it was AltaVista (later its technology was acquired by Overture , and then Yahoo ), which launched a gradient boosting -trained ranking function in April 2003.
Algorithms used in web search engines. See Category:Ranking functions for ranking algorithms suitable for document retrieval in non-web systems. Subcategories
Cross-platform open-source desktop search engine. Unmaintained since 2011-06-02 [9]. LGPL v2 [10] Terrier Search Engine: Linux, Mac OS X, Unix: Desktop search for Windows, Mac OS X (Tiger), Unix/Linux. MPL v1.1 [11] Tracker: Linux, Unix: Open-source desktop search tool for Unix/Linux GPL v2 [12] Tropes Zoom: Windows: Semantic Search Engine (no ...
In information retrieval, Okapi BM25 (BM is an abbreviation of best matching) is a ranking function used by search engines to estimate the relevance of documents to a given search query. It is based on the probabilistic retrieval framework developed in the 1970s and 1980s by Stephen E. Robertson , Karen Spärck Jones , and others.
PageRank (PR) is an algorithm used by Google Search to rank web pages in their search engine results. It is named after both the term "web page" and co-founder Larry Page. PageRank is a way of measuring the importance of website pages. According to Google:
When seeking online information, many people turn to search engines like Google, Bing, Yahoo, or AOL Search. These search engines function as digital indexes, organizing available content by topic and sub-topic, much like an index in a book. Each search engine builds its index using distinct methods, typically beginning with an automated ...
Robin Li developed the RankDex site-scoring algorithm for search engines results page ranking [23] [24] [25] and received a US patent for the technology. [26] It was the first search engine that used hyperlinks to measure the quality of websites it was indexing, [ 27 ] predating the very similar algorithm patent filed by Google two years later ...