A Comparison of Retrieval Models using Term Dependencies Samuel Huston, W. Bruce Croft |
A Markov Random Field Model for Term Dependencies Donald Metzler, W. Bruce Croft |
A Proximity Probabilistic Model for Information Retrieval Ruihua Song, Liqian Yu, Ji-Rong Wen, Hsiao-Wuen Hon |
An exploration of proximity measures in information retrieval. T Tao, CX Zhai |
Biterm Language Models for Document Retrieval Munirathnam Srikanth, Rohini Srihari |
Efficiency vs. Effectiveness in Terabyte-Scale Information Retrieval Stefan Büttcher, Charles L. A. Clarke |
Efficient Term Proximity Search w ith Term - Pair Indexes H Yan, S Shi, F Zhang, T Suel, JR Wen |
Efficient Text Proximity Search Ralf Schenkel , Andreas Broschart, Seungwon Hwang , Martin Theobald, Gerhard Weikum |
Evaluating Learning-to-Rank Methods in the Web Track Adhoc Task. Leonid Boytsov, Anna Belova |
How Good is a Span of Terms? Exploiting Proximity to Improve Web Retrieval Svore, Krysta M., Kanani, Pallika H., Khan, Nazan |
Inverted indexes for phrases and strings M Patil, SV Thankachan, R Shah, WK Hon, J. Vitter, S. Chandrasekaran |
Learning in a Pairwise Term-Term Proximity Framework for Information Retrieval Ronan Cummins, Colm O’Riordan |
Lessons Learned from Indexing Close Word Pairs Leonid Boytsov, Anna Belova |
Permutation indexing: fast approximate retrieval from large corpora Maxim Gurevich, Tamás Sarlós |
Positional Language Models for Information Retrieval Yuanhua Lv , Chengxiang Zhai |
Proximity-Based Opinion Retrieval Shima Gerani, Mark J. Carman, Fabio Crestani |
Relevance ranking for one to three term queries. Charles L. A. Clarke, Gordon V. Cormack, Elizabeth A. Tudhope |
Term Proximity Scoring for Ad-Hoc Retrieval on Very Large Text Collections Stefan Büttcher, Charles L. A. Clarke, Brad Lushman - Authors consider integration of term proximity scoring with Okapi BM25. They present an experimental evaluation and show that the gains achieved over BM25 grow as the size of the underlying text collection increases.
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Term proximity scoring for keyword-based retrieval systems Y Rasolofo, J Savoy - One of the first papers, where proximity score is based on the sum of inversed squared distances among query words. However, this model fails to improve retrieval effectiveness for some collections. Later, this model was improved by S. Büttcher and Charles L. A. Clarke
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Text Retrieval by using k-word Proximity Search Kunihiko Sadakane, Hiroshi Imai - Authors suggest two proximity search algorithms based plane-sweep and divide-an-conquer approach. Both algorithms run in O( nlog n) time, where n is the number of keyword occurrences.
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