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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.
RankBrain is a machine learning-based search engine algorithm, the use of which was confirmed by Google on 26 October 2015. [1] It helps Google to process search results and provide more relevant search results for users. [2]
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 ...
Algorithms used in web search engines. See Category:Ranking functions for ranking algorithms suitable for document retrieval in non-web systems. Subcategories
Discounted cumulative gain (DCG) is a measure of ranking quality in information retrieval. It is often normalized so that it is comparable across queries, giving Normalized DCG (nDCG or NDCG). NDCG is often used to measure effectiveness of search engine algorithms and related applications.
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.
The computational cost of the algorithm is a crucial factor since HITS and SALSA are computed at query time and can therefore significantly affect the response time of a search engine. This should be contrasted with query-independent algorithms like PageRank that can be computed off-line.
Today, this algorithm is a part of major web search engines like Yahoo! and Google. [2] One of the most important factors that help web search engine determine the quality of a web page when returning results are backlinks. Search engines take a number and quality of backlinks into consideration when assigning a place to a certain web page in ...