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AIPS
2011
14 years 1 months ago
Cross-Domain Action-Model Acquisition for Planning via Web Search
Applying learning techniques to acquire action models is an area of intense research interest. Most previous works in this area have assumed that there is a significant amount of...
Hankz Hankui Zhuo, Qiang Yang, Rong Pan, Lei Li
KDD
2005
ACM
177views Data Mining» more  KDD 2005»
15 years 10 months ago
Query chains: learning to rank from implicit feedback
This paper presents a novel approach for using clickthrough data to learn ranked retrieval functions for web search results. We observe that users searching the web often perform ...
Filip Radlinski, Thorsten Joachims
78
Voted
AGENTS
1998
Springer
15 years 1 months ago
WebMate: A Personal Agent for Browsing and Searching
The World-Wide Web is developing very fast. Currently, nding useful information on the Web is a time consuming process. In this paper, we present WebMate, an agent that helps user...
Liren Chen, Katia P. Sycara
ACL
2009
14 years 7 months ago
Exploiting Bilingual Information to Improve Web Search
Web search quality can vary widely across languages, even for the same information need. We propose to exploit this variation in quality by learning a ranking function on bilingua...
Wei Gao, John Blitzer, Ming Zhou, Kam-Fai Wong
CIKM
2008
Springer
14 years 11 months ago
Learning latent semantic relations from clickthrough data for query suggestion
For a given query raised by a specific user, the Query Suggestion technique aims to recommend relevant queries which potentially suit the information needs of that user. Due to th...
Hao Ma, Haixuan Yang, Irwin King, Michael R. Lyu