Query aspects approach to web search

[1]  W. Bruce Croft,et al.  Quary Expansion Using Local and Global Document Analysis , 1996, SIGIR Forum.

[2]  Oren Kurland,et al.  Using statistical decision theory and relevance models for query-performance prediction , 2010, SIGIR.

[3]  Jianfeng Gao,et al.  Exploring web scale language models for search query processing , 2010, WWW '10.

[4]  Paul N. Bennett,et al.  Predicting Query Performance via Classification , 2010, ECIR.

[5]  Alistair Moffat,et al.  Improvements that don't add up: ad-hoc retrieval results since 1998 , 2009, CIKM.

[6]  Ricardo Baeza-Yates,et al.  Improved query difficulty prediction for the web , 2008, CIKM '08.

[7]  Fuchun Peng,et al.  Unsupervised query segmentation using generative language models and wikipedia , 2008, WWW.

[8]  Mathias Lux,et al.  Different degrees of explicitness in intentional artifacts: studying user goals in a large search query log , 2008 .

[9]  Xiaoying Gao,et al.  Understanding Query Aspects with applications to Interactive Query Expansion , 2007, IEEE/WIC/ACM International Conference on Web Intelligence (WI'07).

[10]  Xiaoying Gao,et al.  Exploiting underrepresented query aspects for automatic query expansion , 2007, KDD '07.

[11]  Qin Iris Wang,et al.  Learning Noun Phrase Query Segmentation , 2007, EMNLP.

[12]  W. Bruce Croft,et al.  Ranking robustness: a novel framework to predict query performance , 2006, CIKM '06.

[13]  Ingemar J. Cox,et al.  On ranking the effectiveness of searches , 2006, SIGIR.

[14]  Elad Yom-Tov,et al.  What makes a query difficult? , 2006, SIGIR.

[15]  Abdur Chowdhury,et al.  A picture of search , 2006, InfoScale '06.

[16]  Edward A. Fox,et al.  Connecting topics in document collections with stepping stones and pathways , 2005, CIKM '05.

[17]  Kevyn Collins-Thompson,et al.  Query expansion using random walk models , 2005, CIKM '05.

[18]  Elad Yom-Tov,et al.  Learning to estimate query difficulty: including applications to missing content detection and distributed information retrieval , 2005, SIGIR '05.

[19]  Josiane Mothe,et al.  Linguistic features to predict query difficulty , 2005, SIGIR 2005.

[20]  Edward A. Fox,et al.  Hard Queries can be Addressed with Query Splitting Plus Stepping Stones and Pathways , 2005, IEEE Data Eng. Bull..

[21]  Wei Zhang,et al.  Relevance Feedback by Exploring the Different Feedback Sources and Collection Structure , 2005, TREC.

[22]  Iadh Ounis,et al.  Inferring Query Performance Using Pre-retrieval Predictors , 2004, SPIRE.

[23]  Chris Buckley,et al.  Why current IR engines fail , 2004, SIGIR '04.

[24]  Mykola Pechenizkiy,et al.  PCA-based feature transformation for classification: issues in medical diagnostics , 2004, Proceedings. 17th IEEE Symposium on Computer-Based Medical Systems.

[25]  Dawid Weiss,et al.  Lingo: Search Results Clustering Algorithm Based on Singular Value Decomposition , 2004, Intelligent Information Systems.

[26]  M. Shamim Khan,et al.  Enhanced Web document retrieval using automatic query expansion , 2004, J. Assoc. Inf. Sci. Technol..

[27]  Ellen M. Voorhees,et al.  Overview of the TREC 2004 Robust Retrieval Track , 2004 .

[28]  James Allan,et al.  HARD Track Overview in TREC 2003: High Accuracy Retrieval from Documents , 2003, TREC.

[29]  W. Bruce Croft,et al.  Predicting query performance , 2002, SIGIR '02.

[30]  Chris Buckley,et al.  Improving automatic query expansion , 1998, SIGIR '98.

[31]  Oren Etzioni,et al.  Web document clustering: a feasibility demonstration , 1998, SIGIR '98.

[32]  Justin Zobel,et al.  How reliable are the results of large-scale information retrieval experiments? , 1998, SIGIR '98.

[33]  Mark Magennis,et al.  The potential and actual effectiveness of interactive query expansion , 1997, SIGIR '97.

[34]  Ron Weiss,et al.  Fast and effective query refinement , 1997, SIGIR '97.

[35]  X. Allan Lu,et al.  Query Expansion/Reduction and its Impact on Retrieval Effectiveness , 1994, TREC.

[36]  W. Bruce Croft,et al.  The use of phrases and structured queries in information retrieval , 1991, SIGIR '91.

[37]  J. J. Rocchio,et al.  Relevance feedback in information retrieval , 1971 .