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WWW
2010
ACM
15 years 4 months ago
Actively predicting diverse search intent from user browsing behaviors
This paper is concerned with actively predicting search intent from user browsing behavior data. In recent years, great attention has been paid to predicting user search intent. H...
Zhicong Cheng, Bin Gao, Tie-Yan Liu
WSDM
2012
ACM
258views Data Mining» more  WSDM 2012»
13 years 5 months ago
Large-scale analysis of individual and task differences in search result page examination strategies
Understanding the impact of individual and task differences on search result page examination strategies is important in developing improved search engines. Characterizing these e...
Georg Buscher, Ryen W. White, Susan T. Dumais, Jef...
73
Voted
WWW
2010
ACM
15 years 4 months ago
Competing for users' attention: on the interplay between organic and sponsored search results
Queries on major Web search engines produce complex result pages, primarily composed of two types of information: organic results, that is, short descriptions and links to relevan...
Cristian Danescu-Niculescu-Mizil, Andrei Z. Broder...
KDD
2002
ACM
169views Data Mining» more  KDD 2002»
15 years 10 months ago
Optimizing search engines using clickthrough data
This paper presents an approach to automatically optimizing the retrieval quality of search engines using clickthrough data. Intuitively, a good information retrieval system shoul...
Thorsten Joachims
78
Voted
WWW
2009
ACM
15 years 10 months ago
Discovering users' specific geo intention in web search
Discovering users' specific and implicit geographic intention in web search can greatly help satisfy users' information needs. We build a geo intent analysis system that...
Xing Yi, Hema Raghavan, Chris Leggetter