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...

and made in the 1970s, it was seen in the late 1980s by photographers Okapi BM25, a ranking function in information retrieval This disambiguation page...

probabilistic information retrieval together with Karen Spärck Jones and the Okapi BM25 weighting model. Robertson was born in London, England,[citation needed]...

Africa Okapi BM25, a ranking function used by search engines to rank matching documents according to their relevance to a given search query Okapi Framework...

Dirichlet allocation Latent semantic analysis Mutual information Noun phrase Okapi BM25 PageRank Vector space model Word count SMART Information Retrieval System...

the same author. The best-known derivatives of this framework are the Okapi (BM25) weighting scheme and its multifield refinement, BM25F. Robertson, S...

Independence Model Probabilistic relevance model on which is based the okapi (BM25) relevance function Uncertain inference Language models Divergence-from-randomness...

or vice versa. Some implementations of SPLADE have similar latency to Okapi BM25 lexical search while giving as good results as state-of-the-art neural...

most of them are from the information retrieval domain like tf–idf, Okapi BM25, only a few have been developed specifically for recommenders. Hybrid...

Systems (ILPS). At the time, the tool was tested with success for the Okapi BM25 model, and a multinomial language model, but also includes divergence...