Improving the effectiveness of information retrieval with local context analysis Export

@article{citeulike:2081808, abstract = {Techniques for automatic query expansion have been extensively studied in information research as a means of addressing the word mismatch between queries and documents. These techniques can be categorized as either global or local. While global techniques rely on analysis of a whole collection to discover word relationships, local techniques emphasize analysis of the top-ranked documents retrieved for a query. While local techniques have shown to be more effective that global techniques in general, existing local techniques are not robust and can seriously hurt retrieved when few of the retrieval documents are relevant. We propose a new technique, called local context analysis, which selects expansion terms based on cooccurrence with the query terms within the top-ranked documents. Experiments on a number of collections, both English and non-English, show that local context analysis offers more effective and consistent retrieval results.}, address = {New York, NY, USA}, author = {Xu, Jinxi and Croft, W. Bruce}, citeulike-article-id = {2081808}, citeulike-linkout-0 = {http://portal.acm.org/citation.cfm?id=333138}, citeulike-linkout-1 = {http://dx.doi.org/10.1145/333135.333138}, doi = {10.1145/333135.333138}, issn = {1046-8188}, journal = {ACM Trans. Inf. Syst.}, keywords = {context\_analysis, information, retrieval}, month = {January}, number = {1}, pages = {79--112}, posted-at = {2009-10-29 17:52:04}, priority = {0}, publisher = {ACM}, title = {Improving the effectiveness of information retrieval with local context analysis}, url = {http://dx.doi.org/10.1145/333135.333138}, volume = {18}, year = {2000} }

TY - JOUR ID - citeulike:2081808 L3 - citeulike-article-id:2081808 N2 - Techniques for automatic query expansion have been extensively studied in information research as a means of addressing the word mismatch between queries and documents. These techniques can be categorized as either global or local. While global techniques rely on analysis of a whole collection to discover word relationships, local techniques emphasize analysis of the top-ranked documents retrieved for a query. While local techniques have shown to be more effective that global techniques in general, existing local techniques are not robust and can seriously hurt retrieved when few of the retrieval documents are relevant. We propose a new technique, called local context analysis, which selects expansion terms based on cooccurrence with the query terms within the top-ranked documents. Experiments on a number of collections, both English and non-English, show that local context analysis offers more effective and consistent retrieval results. IS - 1 JF - ACM Trans. Inf. Syst. SN - 1046-8188 AD - New York, NY, USA EP - 112 TI - Improving the effectiveness of information retrieval with local context analysis PB - ACM VL - 18 SP - 79 KW - context_analysis KW - information KW - retrieval AU - Xu, Jinxi AU - Croft, Bruce PY - 2000/01// UR - http://dx.doi.org/10.1145/333135.333138 ER -