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» Understanding web search via a learning paradigm
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SIGIR
2011
ACM
14 years 12 days ago
Learning search tasks in queries and web pages via graph regularization
As the Internet grows explosively, search engines play a more and more important role for users in effectively accessing online information. Recently, it has been recognized that ...
Ming Ji, Jun Yan, Siyu Gu, Jiawei Han, Xiaofei He,...
DEBU
2000
101views more  DEBU 2000»
14 years 9 months ago
Learning to Understand the Web
In a traditional information retrieval system, it is assumed that queries can be posed about any topic. In reality, a large fraction of web queries are posed about a relatively sm...
William W. Cohen, Andrew McCallum, Dallan Quass
ICDE
2002
IEEE
232views Database» more  ICDE 2002»
15 years 11 months ago
DBXplorer: A System for Keyword-Based Search over Relational Databases
Internet search engines have popularized the keywordbased search paradigm. While traditional database management systems offer powerful query languages, they do not allow keyword-...
Sanjay Agrawal, Surajit Chaudhuri, Gautam Das
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
ICDM
2005
IEEE
217views Data Mining» more  ICDM 2005»
15 years 3 months ago
Improving Automatic Query Classification via Semi-Supervised Learning
Accurate topical classification of user queries allows for increased effectiveness and efficiency in general-purpose web search systems. Such classification becomes critical if th...
Steven M. Beitzel, Eric C. Jensen, Ophir Frieder, ...