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Learning in a pairwise term-term proximity framework for information retrieval
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval, 2009 Traditional ad hoc retrieval models do not take into account the closeness or proximity of terms. Document scores in these models are primarily based on the occurrences or non-occurrences of query-terms considered independently of each other. Intuitively, documents in which query-terms occur closer together should be ranked higher than documents in ...
Ronan Cummins, Colm O'Riordan
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Effective top-k computation with term-proximity support
Information Processing and Management, 2009Modern web search engines are expected to return the top-k results efficiently. Although many dynamic index pruning strategies have been proposed for efficient top-k computation, most of them are prone to ignoring some especially important factors in ranking functions, such as term-proximity (the distance relationship between query terms in a document).
Ji-Rong Wen
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Modeling term proximity for probabilistic information retrieval models
Information Sciences, 2011Proximity among query terms has been found to be useful for improving retrieval performance. However, its application to classical probabilistic information retrieval models, such as Okapi's BM25, remains a challenging research problem. In this paper, we propose to improve the classical BM25 model by utilizing the term proximity evidence.
Ben He +2 more
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Proximal-Point Algorithm Using a Linear Proximal Term
Journal of Optimization Theory and Applications, 2009zbMATH Open Web Interface contents unavailable due to conflicting licenses.
He, B. S., Fu, X. L., Jiang, Z. K.
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Efficient term proximity search with term-pair indexes
Proceedings of the 19th ACM international conference on Information and knowledge management, 2010There has been a large amount of research on early termination techniques in web search and information retrieval. Such techniques return the top-k documents without scanning and evaluating the full inverted lists of the query terms. Thus, they can greatly improve query processing efficiency. However, only a limited amount of efficient top-k processing
Hao Yan +4 more
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Term Proximity Constraints for Pseudo-Relevance Feedback
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017Pseudo-relevance feedback (PRF) refers to a query expansion strategy based on top-retrieved documents, which has been shown to be highly effective in many retrieval models. Previous work has introduced a set of constraints (axioms) that should be satisfied by any PRF model.
Ali Montazeralghaem +2 more
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Proximal row carpectomy: Long-term results
Chirurgie de la Main, 2010To evaluate long-term clinical outcome of proximal carpectomy. Our assumption was that this intervention should result in long-term benefit, making a wrist painless, mobile, and functional, compatible with social and professional life, whatever the initial etiology of the degenerative wrist.We report a continuous single centre retrospective series of ...
J, Richou +5 more
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Context Affects Scale Selection for Proximity Terms
Spatial Cognition & Computation, 2010Spatial proximity terms, such as near and far, communicate information regarding the distance in which a “located” object can be found with respect to a “reference” object. The present paper investigates whether people take into account the location of an object extraneous to the located object and reference object pair, when setting the scale for ...
Michele Burigo, Kenny R. Coventry
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Long-Term Followup of Proximal Femoral Allografts
Clinical Orthopaedics and Related Research, 2002Between 1972 and 1999, the orthopaedic service at the authors' institution treated 137 patients with proximal femoral bone lesions by resection and reconstruction with frozen allografts from cadavers. The data were entered into a computer program allowing a comprehensive analysis. Thirty-eight patients had proximal femoral osteoarticular allografts, 69
Edward J, Fox +5 more
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Utilizing term proximity for blog post retrieval
Journal of the American Society for Information Science and Technology, 2013Term proximity is effective for many information retrieval (IR) research fields yet remains unexplored in blogosphere IR. The blogosphere is characterized by large amounts of noise, including incohesive, off‐topic content and spam. Consequently, the classical bag‐of‐words unigram IR models are not reliable enough to provide robust and effective ...
Zheng Ye +3 more
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