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» Mining query subtopics from search log data
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APWEB
2006
Springer
15 years 1 months ago
An Effective System for Mining Web Log
The WWW provides a simple yet effective media for users to search, browse, and retrieve information in the Web. Web log mining is a promising tool to study user behaviors, which co...
Zhenglu Yang, Yitong Wang, Masaru Kitsuregawa
109
Voted
SIGIR
2011
ACM
14 years 8 days ago
Pseudo test collections for learning web search ranking functions
Test collections are the primary drivers of progress in information retrieval. They provide a yardstick for assessing the effectiveness of ranking functions in an automatic, rapi...
Nima Asadi, Donald Metzler, Tamer Elsayed, Jimmy L...
KDD
2009
ACM
228views Data Mining» more  KDD 2009»
15 years 10 months ago
A generalized Co-HITS algorithm and its application to bipartite graphs
Recently many data types arising from data mining and Web search applications can be modeled as bipartite graphs. Examples include queries and URLs in query logs, and authors and ...
Hongbo Deng, Michael R. Lyu, Irwin King
WWW
2007
ACM
15 years 10 months ago
Topic sentiment mixture: modeling facets and opinions in weblogs
In this paper, we define the problem of topic-sentiment analysis on Weblogs and propose a novel probabilistic model to capture the mixture of topics and sentiments simultaneously....
Qiaozhu Mei, Xu Ling, Matthew Wondra, Hang Su, Che...
WSDM
2009
ACM
191views Data Mining» more  WSDM 2009»
15 years 4 months ago
Generating labels from clicks
The ranking function used by search engines to order results is learned from labeled training data. Each training point is a (query, URL) pair that is labeled by a human judge who...
Rakesh Agrawal, Alan Halverson, Krishnaram Kenthap...