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SIGIR
2006
ACM
13 years 11 months ago
Learning user interaction models for predicting web search result preferences
Evaluating user preferences of web search results is crucial for search engine development, deployment, and maintenance. We present a real-world study of modeling the behavior of ...
Eugene Agichtein, Eric Brill, Susan T. Dumais, Rob...
WWW
2008
ACM
14 years 5 months ago
Mining the search trails of surfing crowds: identifying relevant websites from user activity
The paper proposes identifying relevant information sources from the history of combined searching and browsing behavior of many Web users. While it has been previously shown that...
Mikhail Bilenko, Ryen W. White
ICIW
2009
IEEE
13 years 11 months ago
Personalized News Search in WWW: Adapting on User's Behavior
— Personalized Web Search becomes nowadays a promising option in the field of Information Retrieval and search engines design by improving both output quality and user experience...
Christos Bouras, Vassilis Poulopoulos, Panagiotis ...
KDD
2006
ACM
167views Data Mining» more  KDD 2006»
14 years 5 months ago
Identifying "best bet" web search results by mining past user behavior
The top web search result is crucial for user satisfaction with the web search experience. We argue that the importance of the relevance at the top position necessitates special h...
Eugene Agichtein, Zijian Zheng
SIGIR
2010
ACM
13 years 8 months ago
Ready to buy or just browsing?: detecting web searcher goals from interaction data
An improved understanding of the relationship between search intent, result quality, and searcher behavior is crucial for improving the effectiveness of web search. While recent p...
Qi Guo, Eugene Agichtein