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Okapi BM25

Known as: Okapi (disambiguation), Probabilistic relevance model (BM25) 
In information retrieval, Okapi BM25 (BM stands for Best Matching) is a ranking function used by search engines to rank matching documents according… 
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InformationInformation retrievalLearning to rankRanking (information retrieval)

Papers overview

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2019
2019
IITP at MEDIQA 2019: Systems Report for Natural Language Inference, Question Entailment and Question Answering
This paper presents the experiments accomplished as a part of our participation in the MEDIQA challenge, an (Abacha et al., 2019… 
2016
2016
Sistem Repositori Tugas Akhir Mahasiswadengan Fungsi Peringkat Okapi BM25
Saat ini Jurusan Teknik Informatika Universitas ’X’ mewajibkan mahasiswa yang telah selesai tugas akhir untuk mengumpulkan hasil… 
2013
2013
Precise Information Retrieval Exploiting Predicate-Argument Structures
A concept can be linguistically expressed in various syntactic constructions. Such syntactic variations spoil the effectiveness… 
2012
2012
Penerapan Model OKAPI BM25 Pada Sistem Temu Kembali Informasi
The rapid growth of information and digital documents has caused the process to retrieve desire documents becomes more difficult… 
2010
2010
On a Combination of Probabilistic and Boolean IR Models for GeoTime Task
2008
2008
Term Impacts as Normalized Term Frequencies for BM25 Similarity Scoring
The BM25 similarity computation has been shown to provide effective document retrieval. In operational terms, the formulae which… 
2008
2008
Multi-word term indexing for Arabic document retrieval
To improve information retrieval system performances, it seems important to identify key phrases which constitute a better… 
2006
2006
Beyond Term Indexing: A P2P Framework for Web Information Retrieval
Web search over peer-to-peer (P2P) networks shows promise to become an alternative to the state-of-the-art search engines since… 
2006
2006
Ricoh Research at TREC 2006: Enterprise Track
1. Abstract This article presents our contributions to expert s earch and discussion search of Enterprise Track in TREC 2006. In… 
Highly Cited
2005
Highly Cited
2005
Choosing document structure weights
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