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TKDE
2008
231views more  TKDE 2008»
13 years 4 months ago
Personalized Concept-Based Clustering of Search Engine Queries
A major problem of current Web search is that search queries are usually short and ambiguous, and thus are insufficient for specifying the precise user needs. To alleviate this pro...
Kenneth Wai-Ting Leung, Wilfred Ng, Dik Lun Lee
KDD
2006
ACM
198views Data Mining» more  KDD 2006»
14 years 5 months ago
Event detection from evolution of click-through data
Previous efforts on event detection from the web have focused primarily on web content and structure data ignoring the rich collection of web log data. In this paper, we propose t...
Qiankun Zhao, Tie-Yan Liu, Sourav S. Bhowmick, Wei...
KDD
2009
ACM
248views Data Mining» more  KDD 2009»
13 years 9 months ago
PSkip: estimating relevance ranking quality from web search clickthrough data
1 In this article, we report our efforts in mining the information encoded as clickthrough data in the server logs to evaluate and monitor the relevance ranking quality of a commer...
Kuansan Wang, Toby Walker, Zijian Zheng
KDD
2005
ACM
180views Data Mining» more  KDD 2005»
13 years 10 months ago
Information retrieval based on collaborative filtering with latent interest semantic map
In this paper, we propose an information retrieval model called Latent Interest Semantic Map (LISM), which features retrieval composed of both Collaborative Filtering(CF) and Prob...
Noriaki Kawamae, Katsumi Takahashi
PKDD
2009
Springer
170views Data Mining» more  PKDD 2009»
13 years 11 months ago
Statistical Relational Learning with Formal Ontologies
Abstract. We propose a learning approach for integrating formal knowledge into statistical inference by exploiting ontologies as a semantically rich and fully formal representation...
Achim Rettinger, Matthias Nickles, Volker Tresp