The Probabilistic Relevance Framework
The Probabilistic Relevance Framework (PRF) is a formal framework for document retrieval, grounded in work done in the 1970-80s, which led to the development of one of the most successful text-retrieval algorithms, BM25. In recent years, research in the PRF has yielded new retrieval models capable of taking into account structure and link-graph information. Again, this has led to one of the most successful web-search and corporate-search algorithms, BM25F. The Probabilistic Relevance Framework: BM25 and Beyond presents the PRF from a conceptual point of view, describing the probabilistic modelling assumptions behind the…
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Produktdetails
Weitere Autoren: Zaragoza, Hugo
- ISBN: 978-1-60198-308-4
- EAN: 9781601983084
- Produktnummer: 26206163
- Verlag: now publishers Inc
- Sprache: Englisch
- Erscheinungsjahr: 2009
- Seitenangabe: 70 S.
- Masse: H23.4 cm x B15.6 cm x D0.4 cm 113 g
- Gewicht: 113
- Sonstiges: General (US: Trade)
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