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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.
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
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.