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(49)   

• A probabilistic analysis of the Rocchio algorithm with TFIDF for text categorization
  Thorsten Joachims Proceedings of ICML-97, 14th International Conference on Machine Learning, page143--151. Nashville, US, Morgan Kaufmann Publishers, San Francisco, US, (1997)
  to text machine, feedback, learning, rocchio, relevance, categorization, by pprett and 4 other people on Jun 17, 2008, 4:01 PM
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• A Machine Learning Architecture for Optimizing Web Search Engines
  J. Boyan and D. Freitag and T. Joachims Proceedings of the AAAI Workshop on Internet-Based Information Systems, (1996)
  to feedback, search, learning, web reinforcement, machine, relevance, by pprett on Jun 17, 2008, 4:01 PM
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• A Comparison of Classifiers and Document Representations for the Routing Problem
  Hinrich Schütze and David A. Hull and Jan O. Pedersen Research and Development in Information Retrieval, page229--237. (1995)
  to connectionist, relevance, routing feedback, learning, ann, machine, by pprett and 2 other people on Jun 17, 2008, 4:01 PM
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• Active feedback in ad hoc information retrieval
  Xuehua Shen and Chengxiang Zhai SIGIR '05: Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval, page59--66. New York, NY, USA, ACM Press, (2005)
  to information, retrieval active, relevance, feedback, by pprett and 1 other person on Jun 17, 2008, 4:01 PM
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• Accurately interpreting clickthrough data as implicit feedback
  Thorsten Joachims and Laura Granka and Bing Pan and Helene Hembrooke and Geri Gay SIGIR '05: Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval, page154--161. New York, NY, USA, ACM Press, (2005)
  to information, clickthrough, web retrieval, relevance, feedback, search, implicit, by pprett and 6 other people on Jun 17, 2008, 4:01 PM
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• Evaluating Retrieval Performance Using Clickthrough Data
  T. Joachims (2002)
  to evaluation, relevance, feedback, implicit, performance, retrieval information, clickthrough, by pprett on Jun 17, 2008, 4:01 PM
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• Evaluating implicit feedback models using searcher simulations
  Ryen W. White and Ian Ruthven and Joemon M. Jose and Cornelis J. van Rijsbergen ACM Trans. Inf. Syst.23(3):325--361July2005.
  to retrieval relevance, model, information, evaluation, implicit, feedback, by pprett and 2 other people on Jun 17, 2008, 4:01 PM
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• Improving the estimation of relevance models using large external corpora
  Fernando Diaz and Donald Metzler SIGIR '06: Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval, page154--161. New York, NY, USA, ACM Press, (2006)
  to feedback, model, sigir relevance, by pprett and 1 other person on Jun 17, 2008, 4:01 PM
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• Using web-graph distance for relevance feedback in web search
  Sergei Vassilvitskii and Eric Brill SIGIR '06: Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval, page147--153. New York, NY, USA, ACM Press, (2006)
  to feedback, msr, re-rank, web, web-graph search, relevance, by pprett and 1 other person on Jun 17, 2008, 4:01 PM
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• The Use of Relevance Feedback on the Web: Implications for Web IR System Design
  Bernard J. Jansen and Amanda Spink and Tefko Saracevic WebNet (1), page550--555. (1999)
  to web retrieval, feedback, query-log, relevance, search, information, excite, by pprett and 1 other person on Jun 17, 2008, 4:01 PM
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• Incorporating user search behavior into relevance feedback
  Ian Ruthven and Mounia Lalmas and Keith van Rijsbergen Journal of the American Society for Information Science and Technology54(6):529--549February2003.
  to search, feedback, relevance, behavior, user evaluation, reformulating, query, by pprett and 1 other person on Jun 17, 2008, 4:01 PM
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• Improving web search ranking by incorporating user behavior information
  Eugene Agichtein and Eric Brill and Susan Dumais SIGIR '06: Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval, page19--26. New York, NY, USA, ACM Press, (2006)
  to behavior, retrieval, re-rank, search, msr, ranknet, relevance, evaluation, information, learning, user, web feedback, machine, by pprett and 2 other people on Jun 17, 2008, 4:01 PM
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• Probabilistic query expansion using query logs
  Hang Cui and Ji-Rong Wen and Jian-Yun Nie and Wei-Ying Ma WWW '02: Proceedings of the eleventh international conference on World Wide Web, page325--332. ACM Press, (2002)
  to usage, logs, feedback, query, expansion, probability, mining, relevance, web by pprett and 8 other people on Jun 17, 2008, 4:01 PM
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• Some Formal Analysis of Rocchio's Similarity-Based Relevance Feedback Algorithm
  Zhixiang Chen and Binhai Zhu Inf. Retr.5(1):61--86January2002.
  to supervised, rocchio, feedback, machine, relevance, theoretical learning, algorithm, by pprett and 1 other person on Jun 17, 2008, 4:01 PM
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• A survey on the use of relevance feedback for information access systems
  Ian Ruthven and Mounia Lalmas Knowl. Eng. Rev.18(2):95--145June2003.
  to survey relevance, feedback, by pprett and 2 other people on Jun 17, 2008, 4:01 PM
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• Click data as implicit relevance feedback in web search
  Seikyung Jung and Jonathan L. Herlocker and Janet Webster Inf. Process. Manage.43(3):791--807May2007.
  to relevance, ir, clickthrough, feedback, web implicit, retrieval, information, by pprett and 2 other people on Jun 17, 2008, 4:01 PM
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• Robustness of adaptive filtering methods in a cross-benchmark evaluation
  Yiming Yang and Shinjae Yoo and Jian Zhang and Bryan Kisiel SIGIR '05: Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval, page98--105. New York, NY, USA, ACM Press, (2005)
  to adaptive, machine, relevance, filtering, learning, classification, information, ir, retrieval feedback, by pprett and 1 other person on Jun 17, 2008, 4:01 PM
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• Re-examining the potential effectiveness of interactive query expansion
  Ian Ruthven SIGIR '03: Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval, page213--220. New York, NY, USA, ACM Press, (2003)
  to feedback, computer, interactive, evaluation, relevance, award, interaction, human, retrieval query, information, expansion, by pprett and 4 other people on Jun 17, 2008, 4:01 PM
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• A regression framework for learning ranking functions using relative relevance judgments
  Zhaohui Zheng and Keke Chen and Gordon Sun and Hongyuan Zha SIGIR '07: Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval, page287--294. New York, NY, USA, ACM Press, (2007)
  to relevance, information, learning, feedback, judgements, ranking, machine, retrieval by pprett and 1 other person on Jun 17, 2008, 4:01 PM
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• Relevance feedback revisited
  Donna Harman SIGIR '92: Proceedings of the 15th annual international ACM SIGIR conference on Research and development in information retrieval, page1--10. New York, NY, USA, ACM, (1992)
  to relevance, probabilistic, ir, information, retrieval feedback, by pprett and 1 other person on Jun 17, 2008, 4:01 PM
  URL | BibTeX