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AI
2008
Springer
15 years 9 months ago
A Frequency Mining-Based Algorithm for Re-ranking Web Search Engine Retrievals
Abstract. Conventional web search engines retrieve too many documents for the majority of the submitted queries; therefore, they possess a good recall, since there are far more pag...
M. Barouni-Ebrahimi, Ebrahim Bagheri, Ali A. Ghorb...
WWW
2007
ACM
16 years 3 months ago
Answering relationship queries on the web
Finding relationships between entities on the Web, e.g., the connections between different places or the commonalities of people, is a novel and challenging problem. Existing Web ...
Gang Luo, Chunqiang Tang, Ying-li Tian
MCAM
2007
Springer
188views Multimedia» more  MCAM 2007»
15 years 9 months ago
Searching One Billion Web Images by Content: Challenges and Opportunities
Although content-based image retrieval has been studied for decades, most commercial image search engines are still text-based. However, there is a growing demand for techniques to...
Zhiwei Li, Xing Xie, Lei Zhang, Wei-Ying Ma
WWW
2009
ACM
16 years 3 months ago
Search result re-ranking based on gap between search queries and social tags
Both search engine click-through log and social annotation have been utilized as user feedback for search result re-ranking. However, to our best knowledge, no previous study has ...
Jun Yan, Ning Liu, Elaine Qing Chang, Lei Ji, Zhen...
SIGIR
2006
ACM
15 years 9 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...