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WWW
2004
ACM
14 years 9 months ago
Understanding user goals in web search
Previous work on understanding user web search behavior has focused on how people search and what they are searching for, but not why they are searching. In this paper, we describ...
Daniel E. Rose, Danny Levinson
WWW
2005
ACM
14 years 9 months ago
The infocious web search engine: improving web searching through linguistic analysis
In this paper we present the Infocious Web search engine [23]. Our goal in creating Infocious is to improve the way people find information on the Web by resolving ambiguities pre...
Alexandros Ntoulas, Gerald Chao, Junghoo Cho
SIGIR
2003
ACM
14 years 2 months ago
Exploiting query history for document ranking in interactive information retrieval
In this poster,we incorporate user query history, as context information, to improve the retrieval performance in interactive retrieval. Experiments using the TREC data show that ...
Xuehua Shen, ChengXiang Zhai
KDD
2009
ACM
210views Data Mining» more  KDD 2009»
14 years 3 months ago
Modeling and predicting user behavior in sponsored search
Implicit user feedback, including click-through and subsequent browsing behavior, is crucial for evaluating and improving the quality of results returned by search engines. Severa...
Josh Attenberg, Sandeep Pandey, Torsten Suel
WWW
2007
ACM
14 years 9 months ago
Information flow modeling based on diffusion rate for prediction and ranking
Information flows in a network where individuals influence each other. The diffusion rate captures how efficiently the information can diffuse among the users in the network. We p...
Xiaodan Song, Yun Chi, Koji Hino, Belle L. Tseng