Information Sciences and Technology
暂无分享,去创建一个
[1] D. R. Fulkerson,et al. Maximal Flow Through a Network , 1956 .
[2] Antonio Gulli,et al. The indexable web is more than 11.5 billion pages , 2005, WWW '05.
[3] Peter Boros,et al. Query Segmentation for Web Search , 2003, WWW.
[4] Susan T. Dumais,et al. Personalizing Search via Automated Analysis of Interests and Activities , 2005, SIGIR.
[5] Leonid Zhukov,et al. Methods for MiningWeb Communities: Bibliometric, Spectral, and Flow , 2004, Web Dynamics.
[6] Daniel E. Rose,et al. Understanding user goals in web search , 2004, WWW '04.
[7] Subbarao Kambhampati,et al. Providing ranked relevant results for web database queries , 2004, WWW Alt. '04.
[8] G Salton,et al. Developments in Automatic Text Retrieval , 1991, Science.
[9] Amanda Spink,et al. An Analysis of Web Documents Retrieved and Viewed , 2003, International Conference on Internet Computing.
[10] Thorsten Joachims,et al. Accurately interpreting clickthrough data as implicit feedback , 2005, SIGIR '05.
[11] Djoerd Hiemstra,et al. Language models and probability of relevance , 2001 .
[12] Gerard Salton,et al. Improving Retrieval Performance by Relevance Feedback , 1997 .
[13] Sergey Brin,et al. The Anatomy of a Large-Scale Hypertextual Web Search Engine , 1998, Comput. Networks.
[14] Michael McGill,et al. Introduction to Modern Information Retrieval , 1983 .
[15] Steve Chien,et al. Semantic similarity between search engine queries using temporal correlation , 2005, WWW '05.
[16] Giles,et al. Searching the world wide Web , 1998, Science.
[17] Reiner Kraft,et al. Mining anchor text for query refinement , 2004, WWW '04.
[18] Shie Mannor,et al. Q-Cut - Dynamic Discovery of Sub-goals in Reinforcement Learning , 2002, ECML.
[19] Amnon Shashua,et al. Ranking with Large Margin Principle: Two Approaches , 2002, NIPS.
[20] Krishna Prasad Chitrapura,et al. Node ranking in labeled directed graphs , 2004, CIKM '04.
[21] Kwok-Wai Cheung,et al. Learning User Similarity and Rating Style for Collaborative Recommendation , 2003, Information Retrieval.
[22] Eric Brill,et al. Web Search Intent Induction via Automatic Query Reformulation , 2004, NAACL.
[23] Chris Buckley,et al. Improving automatic query expansion , 1998, SIGIR '98.
[24] ChengXiang Zhai,et al. Exploiting query history for document ranking in interactive information retrieval , 2003, SIGIR '03.
[25] Kristian J. Hammond,et al. Mining navigation history for recommendation , 2000, IUI '00.
[26] Eric Horvitz,et al. Patterns of search: analyzing and modeling Web query refinement , 1999 .
[27] Barry Smyth,et al. Further Experiments on Collaborative Ranking in Community-Based Web Search , 2004, Artificial Intelligence Review.
[28] Ziming Zhuang,et al. iHITS: extending HITS for personal interests profiling , 2005, 19th International Conference on Advanced Information Networking and Applications (AINA'05) Volume 1 (AINA papers).
[29] Shlomo Moran,et al. The stochastic approach for link-structure analysis (SALSA) and the TKC effect , 2000, Comput. Networks.
[30] Djoerd Hiemstra,et al. Using language models for information retrieval , 2001 .
[31] Krishna Bharat,et al. When experts agree: using non-affiliated experts to rank popular topics , 2001, TOIS.
[32] Wei-Ying Ma,et al. Probabilistic query expansion using query logs , 2002, WWW '02.
[33] Jaana Kekäläinen,et al. Cumulated gain-based evaluation of IR techniques , 2002, TOIS.
[34] ChengXiang Zhai,et al. Implicit user modeling for personalized search , 2005, CIKM '05.
[35] Nicholas J. Belkin,et al. A case for interaction: a study of interactive information retrieval behavior and effectiveness , 1996, CHI.
[36] Gregory N. Hullender,et al. Learning to rank using gradient descent , 2005, ICML.
[37] Stephen E. Robertson,et al. Some simple effective approximations to the 2-Poisson model for probabilistic weighted retrieval , 1994, SIGIR '94.
[38] Andrei Z. Broder,et al. Graph structure in the Web , 2000, Comput. Networks.
[39] Silviu Cucerzan,et al. Re-ranking search results using query logs , 2006, CIKM '06.
[40] Andrei Z. Broder,et al. The Connectivity Server: Fast Access to Linkage Information on the Web , 1998, Comput. Networks.
[41] Hans-Peter Frei,et al. Concept based query expansion , 1993, SIGIR.
[42] Yoram Singer,et al. An Efficient Boosting Algorithm for Combining Preferences by , 2013 .
[43] Barry Smyth,et al. A Live-User Evaluation of Collaborative Web Search , 2005, IJCAI.
[44] Pertti Vakkari,et al. Subject Knowledge, Source of Terms, and Term Selection in Query Expansion: An Analytical Study , 2002, ECIR.
[45] Taher H. Haveliwala. Topic-sensitive PageRank , 2002, IEEE Trans. Knowl. Data Eng..
[46] Osmar R. Zaïane,et al. Finding Similar Queries to Satisfy Searches Based on Query Traces , 2002, OOIS Workshops.
[47] T. Landauer,et al. Indexing by Latent Semantic Analysis , 1990 .
[48] Ji-Rong Wen,et al. Clustering user queries of a search engine , 2001, WWW '01.
[49] Doug Beeferman,et al. Agglomerative clustering of a search engine query log , 2000, KDD '00.
[50] Jon M. Kleinberg,et al. Automatic Resource Compilation by Analyzing Hyperlink Structure and Associated Text , 1998, Comput. Networks.
[51] Rick Kazman,et al. WebQuery: Searching and Visualizing the Web Through Connectivity , 1997, Comput. Networks.
[52] Wei-Ying Ma,et al. Optimizing web search using web click-through data , 2004, CIKM '04.
[53] Susan T. Dumais,et al. Optimizing search by showing results in context , 2001, CHI.
[54] Jon Kleinberg,et al. Authoritative sources in a hyperlinked environment , 1998, SODA '98.
[55] Thorsten Joachims,et al. Optimizing search engines using clickthrough data , 2002, KDD.
[56] Eric Brill,et al. Spelling Correction as an Iterative Process that Exploits the Collective Knowledge of Web Users , 2004, EMNLP.
[57] Mark Craven,et al. First-Order Learning for Web Mining , 1998, ECML.
[58] Boris Chidlovskii,et al. Collaborative Re-Ranking of Search Results , 2000 .