Automatic new topic identification using multiple linear regression
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[1] Amanda Spink,et al. Searching the Web: the public and their queries , 2001 .
[2] Arnold L. Rosenberg,et al. Finding topic words for hierarchical summarization , 2001, SIGIR '01.
[3] Thad Starner,et al. Web Technologies - Thick Clients for Personal Wireless Devices , 2002, Computer.
[4] Catherine M. Harmonosky,et al. A real-time methodology for minimizing mean flowtime in FMSs with machine breakdowns: threshold-based selective rerouting , 2004 .
[5] David J. Harper,et al. Topic modeling for mediated access to very large document collections , 2004, J. Assoc. Inf. Sci. Technol..
[6] Amanda Spink,et al. A day in the life of Web searching: an exploratory study , 2004, Inf. Process. Manag..
[7] Xuehua Shen,et al. Context-sensitive information retrieval using implicit feedback , 2005, SIGIR '05.
[8] ChengXiang Zhai,et al. Error analysis of difficult TREC topics , 2003, SIGIR '03.
[9] Amanda Spink,et al. Real life, real users, and real needs: a study and analysis of user queries on the web , 2000, Inf. Process. Manag..
[10] Fernando Diaz,et al. A User-Centered Approach to Evaluating Topic Models , 2004, ECIR.
[11] Azadeh Shakery,et al. Toward Entity Retrieval over Structured and Text Data , 2004 .
[12] Seda Özmutlu,et al. Neural network applications for automatic new topic identification , 2005, Online Inf. Rev..
[13] Sanna Talja,et al. The production of context in information seeking research: a metatheoretical view , 1999, Inf. Process. Manag..
[14] Luo Si,et al. Preference-based Graphic Models for Collaborative Filtering , 2002, UAI.
[15] Makiko Miwa. User Situations and Multiple Levels of user Goals in Information Problem Solving Processes of AskERIC Users. , 2001 .
[16] Glenn Shafer,et al. A Mathematical Theory of Evidence , 2020, A Mathematical Theory of Evidence.
[17] Vladimir N. Vapnik,et al. The Nature of Statistical Learning Theory , 2000, Statistics for Engineering and Information Science.
[18] Amanda Spink,et al. Analysis of large data logs: an application of Poisson sampling on excite web queries , 2002, Inf. Process. Manag..
[19] Ayse Goker. Context learning in Okapi , 1997 .
[20] W. Bruce Croft,et al. Analysis of Statistical Question Classification for Fact-Based Questions , 2005, Information Retrieval.
[21] Jiawei Han,et al. Text classification from positive and unlabeled documents , 2003, CIKM '03.
[22] Ophir Frieder,et al. Hourly analysis of a very large topically categorized web query log , 2004, SIGIR '04.
[23] Huseyin Cenk Özmutlu,et al. Application of automatic topic identification on Excite Web search engine data logs , 2005, Inf. Process. Manag..
[24] Ji-Rong Wen,et al. Query clustering using user logs , 2002, TOIS.
[25] Doug Beeferman,et al. Agglomerative clustering of a search engine query log , 2000, KDD '00.
[26] Christopher J. C. Burges,et al. A Tutorial on Support Vector Machines for Pattern Recognition , 1998, Data Mining and Knowledge Discovery.
[27] James Allan,et al. Using Names and Topics for New Event Detection , 2005, HLT/EMNLP.
[28] James Allan,et al. Text classification and named entities for new event detection , 2004, SIGIR '04.
[29] Azadeh Shakery,et al. Relevance Propagation for Topic Distillation UIUC TREC 2003 Web Track Experiments , 2003, TREC.
[30] Fabrizio Sebastiani,et al. Machine learning in automated text categorization , 2001, CSUR.
[31] Yiming Yang,et al. A re-examination of text categorization methods , 1999, SIGIR '99.
[32] Amanda Spink,et al. Neural network applications for automatic new topic identification on excite web search engine data logs , 2004, ASIST.
[33] Daqing He,et al. Analysing Web Search Logs to Determine Session Boundaries for User-Oriented Learning , 2000, AH.
[34] Peiling Wang,et al. Mining longitudinal web queries: Trends and patterns , 2003, J. Assoc. Inf. Sci. Technol..
[35] W. Bruce Croft,et al. Automatic recognition of reading levels from user queries , 2004, SIGIR '04.
[36] Thorsten Joachims,et al. Text Categorization with Support Vector Machines: Learning with Many Relevant Features , 1998, ECML.
[37] Amanda Spink,et al. Multitasking information seeking and searching processes , 2002, J. Assoc. Inf. Sci. Technol..
[38] Bei Yu,et al. A cross-collection mixture model for comparative text mining , 2004, KDD.
[39] Robert P. W. Duin,et al. Uniform Object Generation for Optimizing One-class Classifiers , 2002, J. Mach. Learn. Res..
[40] James Allan. Modeling Topics for Detection and Tracking , 2003 .
[41] Amanda Spink,et al. Are people asking questions of general Web search engines? , 2003, Online Inf. Rev..
[42] Hwee Tou Ng,et al. Bayesian online classifiers for text classification and filtering , 2002, SIGIR '02.
[43] Shui-Lung Chuang,et al. Subject categorization of query terms for exploring Web users' search interests , 2002, J. Assoc. Inf. Sci. Technol..
[44] Monika Henzinger,et al. Analysis of a very large web search engine query log , 1999, SIGF.
[45] Andrew McCallum,et al. Group and topic discovery from relations and text , 2005, LinkKDD '05.
[46] Amanda Spink,et al. Characteristics of question format web queries: an exploratory study , 2002, Inf. Process. Manag..
[47] Amanda Spink,et al. From E-Sex to E-Commerce: Web Search Changes , 2002, Computer.
[48] Seda Özmutlu,et al. Automatic new topic identification in search engine transaction logs , 2006, Internet Res..
[49] Victor Lavrenko,et al. Language-specific models in multilingual topic tracking , 2004, SIGIR '04.
[50] Wei Li,et al. Semi-Supervised Sequence Modeling with Syntactic Topic Models , 2005, AAAI.
[51] ChengXiang Zhai,et al. Discovering evolutionary theme patterns from text: an exploration of temporal text mining , 2005, KDD '05.
[52] Amanda Spink,et al. Multitasking Web searching and implications for design , 2003, ASIST.
[53] Catherine M. Harmonosky,et al. Production , Manufacturing and Logistics A real-time methodology for minimizing mean flowtime in FMSs with routing flexibility : Threshold-based alternate routing , 2005 .
[54] Ronald W. Wolff,et al. Poisson Arrivals See Time Averages , 1982, Oper. Res..
[55] Daqing He,et al. Detecting session boundaries from Web user logs , 2000 .
[56] Russell Greiner,et al. Learning a Model of a Web User's Interests , 2003, User Modeling.
[57] Amanda Spink,et al. Multimedia Web searching trends: 1997-2001 , 2003, Inf. Process. Manag..
[58] Federico Girosi,et al. Support Vector Machines: Training and Applications , 1997 .
[59] Thorsten Joachims,et al. Text categorization with support vector machines , 1999 .
[60] Amanda Spink,et al. Searching the Web: a survey of EXCITE users , 1999, Internet Res..
[61] W. Bruce Croft,et al. A Markov random field model for term dependencies , 2005, SIGIR '05.
[62] Daqing He,et al. Combining evidence for automatic Web session identification , 2002, Inf. Process. Manag..