Improving retrieval performance by relevance feedback

@article{citeulike:163711, address = {San Francisco, CA, USA}, author = {Salton, Gerard and Buckley, Chris}, citeulike-article-id = {163711}, comment = {The advantage of all probabilistic feedback models compared with the conventional vector modification methods, is that the feedback process is directly related to the derivation of a weight for query terms. Indeed, the document similarity function of expression (8) increases by a weighting factor of log[p,(l - u,)/u,(l - pi)] for each query term i that matches a document, and this term weight is optimal under the assumed conditions of term independence and binary document indexing. residual collection}, isbn = {1558604545}, keywords = {feedback, relevant}, pages = {355--364}, posted-at = {2005-04-19 02:42:49}, priority = {0}, publisher = {Morgan Kaufmann Publishers Inc.}, title = {Improving retrieval performance by relevance feedback}, url = {http://portal.acm.org/citation.cfm?id=275712}, year = {1997} }

TY - JOUR ID - citeulike:163711 L3 - citeulike-article-id:163711 SN - 1558604545 AD - San Francisco, CA, USA EP - 364 TI - Improving retrieval performance by relevance feedback PB - Morgan Kaufmann Publishers Inc. SP - 355 KW - feedback KW - relevant N1 - The advantage of all probabilistic feedback models compared with the conventional vector modification methods, is that the feedback process is directly related to the derivation of a weight for query terms. Indeed, the document similarity function of expression (8) increases by a weighting factor of log[p,(l - u,)/u,(l - pi)] for each query term i that matches a document, and this term weight is optimal under the assumed conditions of term independence and binary document indexing. residual collection AU - Salton, Gerard AU - Buckley, Chris PY - 1997/// UR - http://portal.acm.org/citation.cfm?id=275712 ER -