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	Browse All Reviews > Information Systems (H) > Information Storage And Retrieval (H.3) > Information Search And Retrieval (H.3.3) > Relevance Feedback (H.3.3...)     Options: All Media Types Journals Proceedings Div Books Whole Books Other Date Reviewed Title Author Publisher Published Date Descending Ascending     1-10 of 10 Reviews about "Relevance Feedback (H.3.3...)": Date Reviewed   A learning approach to optimizing exploration-exploitation tradeoff in relevance feedback Karimzadehgan M., Zhai C. Information Retrieval 16(3): 307-330, 2013.  Type: Article Improving the accuracy of a search session is a difficult task. In this paper, a machine learning approach is presented to optimize the exploration-exploitation tradeoff between search results and user feedback by “optimizing... Feb 7 2014   SNDocRank: a social network-based video search ranking framework Gou L., Chen H., Kim J., Zhang X., Giles C.  MIR 2010 (Proceedings of the International Conference on Multimedia Information Retrieval, Philadelphia, PA, Mar 29-31, 2010) 367-376, 2010.  Type: Proceedings An ongoing challenge for researchers is the ability to provide relevant search results to users. This paper attempts to arrive at the ranking score of search results by using the user’s behavior pattern, which is identified f... Aug 20 2010   Is Wikipedia link structure different? Kamps J., Koolen M.  WSDM 2009 (Proceedings of the 2nd ACM International Conference on Web Search and Data Mining, Barcelona, Spain, Feb 9-12, 2009) 232-241, 2009.  Type: Proceedings Link structure plays an important role in the Web retrieval of relevant information. Characteristics of link structure are useful in measuring the relevance of a page. A page in the page pool has three parameters that determine its rel... Jul 9 2010   Enhancing relevance feedback in image retrieval using unlabeled data Zhou Z., Chen K., Dai H. ACM Transactions on Information Systems 24(2): 219-244, 2006.  Type: Article Relevance feedback in content-based image retrieval (CBIR) is addressed in this paper, which provides an interesting approach based on a preliminary method—semi-supervised active image retrieval with asymmetry (SSAIRA). T... Sep 18 2006   How users assess Web pages for information seeking Tombros A., Ruthven I., Jose J. Journal of the American Society for Information Science and Technology 56(4): 327-344, 2005.  Type: Article This paper attempts to explore the criteria used by online searchers when assessing the relevance of Web pages for information seeking tasks. After a deep analysis of related work, the authors summarize the contributions of their paper... Oct 19 2005   A unified maximum likelihood approach to document retrieval Bodoff D., Enache D., Kambil A., Simon G., Yukhimets A. Journal of the American Society for Information Science 52(10): 785-796, 2001.  Type: Article The authors of this paper deal with the problem of using relevance feedback data to improve information retrieval (IR) performance. Relevance feedback is an assessment of the actual relevance of a document to a query. The authors pres... Sep 18 2002   User perspectives on relevance criteria: a comparison among relevant, partially relevant , and not-relevant judgements Maglaughlin K., Sonnenwald D. Journal of the American Society for Information Science 53(5): 327-342, 2002.  Type: Article The authors investigate the use of criteria to assess relevant, partially relevant, and not-relevant documents in the context of information retrieval (IR) systems. Their paper is based on an experiment with 12 participants, and on on... Jul 24 2002   Regions and levels: measuring and mapping users’ relevance judgments Spink A., Greisdorf H. Journal of the American Society for Information Science 52(2): 161-173, 2001.  Type: Article The authors of this paper collected relevance judgments from 21 users who carried out 43 searches, and then evaluated the relevance of 1,059 retrieved items. The relevance evaluations were collected on several different scales.... Dec 1 2001   The effect of pool depth on system evaluation in TREC Keenan S., Smeaton A., Keogh G. Journal of the American Society for Information Science 52(7): 570-574, 2001.  Type: Article Information retrieval encompasses a wide variety of different research efforts pertaining to such highly business-oriented topics as knowledge management in companies. Nonetheless, the fundamental concepts include recall and precision ... Sep 1 2001   Finding statistics online Berinstein P., Bjørner S., Information Today, Inc., Medford, NJ, 1998.  Type: Book (9780910965255) Any library whose users need statistical information should contain this comprehensive monograph. It is ideal for inexperienced end users who need both statistical information and a guide to searching, but it would also be a valuable a... Nov 1 1998       Display 510152550100 per page
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