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» Extracting User Interests from Search Query Logs: A Clusteri...
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WWW
2009
ACM
14 years 5 months ago
Towards context-aware search by learning a very large variable length hidden markov model from search logs
Capturing the context of a user's query from the previous queries and clicks in the same session may help understand the user's information need. A context-aware approac...
Huanhuan Cao, Daxin Jiang, Jian Pei, Enhong Chen, ...
IJPRAI
2002
142views more  IJPRAI 2002»
13 years 4 months ago
Improving Encarta Search Engine Performance by Mining User Logs
We propose a data-mining approach that produces generalized query patterns (with generalized keywords) from the raw user logs of the Microsoft Encarta search engine (http://encart...
Charles X. Ling, Jianfeng Gao, Huajie Zhang, Weini...
PVLDB
2010
112views more  PVLDB 2010»
13 years 2 months ago
Towards The Web of Concepts: Extracting Concepts from Large Datasets
Concepts are sequences of words that represent real or imaginary entities or ideas that users are interested in. As a first step towards building a web of concepts that will form...
Aditya G. Parameswaran, Hector Garcia-Molina, Anan...
WWW
2010
ACM
13 years 11 months ago
Actively predicting diverse search intent from user browsing behaviors
This paper is concerned with actively predicting search intent from user browsing behavior data. In recent years, great attention has been paid to predicting user search intent. H...
Zhicong Cheng, Bin Gao, Tie-Yan Liu
DEXA
2006
Springer
160views Database» more  DEXA 2006»
13 years 8 months ago
Clustering of Search Engine Keywords Using Access Logs
Abstract. It the becomes possible that users can get kinds of information by just inputting search keyword(s) representing the topic which users are interested in. But it is not al...
Shingo Otsuka, Masaru Kitsuregawa