A basis for information retrieval in context Export

@article{citeulike:2907183, abstract = {Information retrieval (IR) models based on vector spaces have been investigated for a long time. Nevertheless, they have recently attracted much research interest. In parallel, context has been rediscovered as a crucial issue in information retrieval. This article presents a principled approach to modeling context and its role in ranking information objects using vector spaces. First, the article outlines how a basis of a vector space naturally represents context, both its properties and factors. Second, a ranking function computes the probability of context in the objects represented in a vector space, namely, the probability that a contextual factor has affected the preparation of an object.}, address = {New York, NY, USA}, author = {Melucci, Massimo}, citeulike-article-id = {2907183}, citeulike-linkout-0 = {http://portal.acm.org/citation.cfm?id=1361684.1361687}, citeulike-linkout-1 = {http://dx.doi.org/10.1145/1361684.1361687}, doi = {10.1145/1361684.1361687}, issn = {1046-8188}, journal = {ACM Trans. Inf. Syst.}, keywords = {context, dimensionreduction, ir, quantum, vsm}, month = {June}, number = {3}, pages = {1--41}, posted-at = {2008-06-23 14:36:45}, priority = {4}, publisher = {ACM}, title = {A basis for information retrieval in context}, url = {http://dx.doi.org/10.1145/1361684.1361687}, volume = {26}, year = {2008} }

TY - JOUR ID - citeulike:2907183 L3 - citeulike-article-id:2907183 N2 - Information retrieval (IR) models based on vector spaces have been investigated for a long time. Nevertheless, they have recently attracted much research interest. In parallel, context has been rediscovered as a crucial issue in information retrieval. This article presents a principled approach to modeling context and its role in ranking information objects using vector spaces. First, the article outlines how a basis of a vector space naturally represents context, both its properties and factors. Second, a ranking function computes the probability of context in the objects represented in a vector space, namely, the probability that a contextual factor has affected the preparation of an object. IS - 3 JF - ACM Trans. Inf. Syst. SN - 1046-8188 AD - New York, NY, USA EP - 41 TI - A basis for information retrieval in context PB - ACM VL - 26 SP - 1 KW - context KW - dimensionreduction KW - ir KW - quantum KW - vsm AU - Melucci, Massimo PY - 2008/06// UR - http://dx.doi.org/10.1145/1361684.1361687 ER -