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» Mining Web Query Hierarchies from Clickthrough Data
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WWW
2005
ACM
14 years 8 months ago
CubeSVD: a novel approach to personalized Web search
As the competition of Web search market increases, there is a high demand for personalized Web search to conduct retrieval incorporating Web users' information needs. This pa...
Jian-Tao Sun, Hua-Jun Zeng, Huan Liu, Yuchang Lu, ...
KDD
2009
ACM
188views Data Mining» more  KDD 2009»
14 years 8 months ago
Mining broad latent query aspects from search sessions
Search queries are typically very short, which means they are often underspecified or have senses that the user did not think of. A broad latent query aspect is a set of keywords ...
Xuanhui Wang, Deepayan Chakrabarti, Kunal Punera
WSDM
2012
ACM
285views Data Mining» more  WSDM 2012»
12 years 3 months ago
Probabilistic models for personalizing web search
We present a new approach for personalizing Web search results to a specific user. Ranking functions for Web search engines are typically trained by machine learning algorithms u...
David Sontag, Kevyn Collins-Thompson, Paul N. Benn...
KDD
2009
ACM
143views Data Mining» more  KDD 2009»
14 years 8 months ago
Optimizing web traffic via the media scheduling problem
Website traffic varies through time in consistent and predictable ways, with highest traffic in the middle of the day. When providing media content to visitors, it is important to...
Lars Backstrom, Jon M. Kleinberg, Ravi Kumar
KDD
2005
ACM
163views Data Mining» more  KDD 2005»
14 years 1 months ago
Web mining from competitors' websites
This paper presents a framework for user-oriented text mining. It is then illustrated with an example of discovering knowledge from competitors’ websites. The knowledge to be di...
Xin Chen, Yi-fang Brook Wu