Attribution of activity in multi-user settings
作者： Eric Horvitz , Ahmed Hassan Awadallah , Ryen White , Adish Singla
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摘要: The claimed subject matter includes a system and method for attribution of search activity in multi-user settings. training classifier to distinguish between machines that are single-user based on logs an identified machine. machine is determined be the classifier. A number users estimated Activity clustered estimated. similarity function learned also assigning new one clustering, function.
lens.org 参考文章(56)
James P. Callan, Kevyn Collins-Thompson, A Language Modeling Approach to Predicting Reading Difficulty. north american chapter of the association for computational linguistics. pp. 193- 200 ,(2004)
Suresh K. Bhavnani, Important cognitive components of domain-specific search knowledge text retrieval conference. pp. 571- 578 ,(2001)
Sunil Mohan, Xiaoyuan Wu, Personalizing search results ,(2012)
Reed Sturtevant, William Gross, Thomas McGovern, Search engine using user intent ,(2005)
Stephen R. Lawrence, Personalization of Web Search Results Using Term, Category, and Link-Based User Profiles ,(2013)
Susan Dumais, Eric Horvitz, Doug Downey, Models of searching and browsing: languages, studies, and applications international joint conference on artificial intelligence. pp. 2740- 2747 ,(2007)
Tom Fawcett, Foster Provost, Adaptive Fraud Detection Data Mining and Knowledge Discovery. ,vol. 1, pp. 291- 316 ,(1997) , 10.1023/A:1009700419189
Tessa Lau, Eric Horvitz, Patterns of search: analyzing and modeling Web query refinement international conference on user modeling, adaptation, and personalization. pp. 119- 128 ,(1999) , 10.1007/978-3-7091-2490-1_12
Olcan Sercinoglu, Artem Boytsov, Jeffrey A. Dean, Systems and methods for generating statistics from search engine query logs ,(2007)
Marcos Campos, Pablo Tamayo, Jacek Myczkowski, Enterprise web mining system and method ,(2001)