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» Agglomerative clustering of a search engine query log
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WWW
2006
ACM
14 years 7 months ago
Mining search engine query logs for query recommendation
This paper presents a simple and intuitive method for mining search engine query logs to get fast query recommendations on a large scale industrial-strength search engine. In orde...
Zhiyong Zhang, Olfa Nasraoui
WWW
2008
ACM
14 years 7 months ago
Analysis of geographic queries in a search engine log
Geography is becoming increasingly important in web search. Search engines can often return better results to users by analyzing features such as user location or geographic terms...
Qingqing Gan, Josh Attenberg, Alexander Markowetz,...
CIKM
2009
Springer
14 years 1 months ago
Beyond hyperlinks: organizing information footprints in search logs to support effective browsing
While current search engines serve known-item search such as homepage finding very well, they generally cannot support exploratory search effectively. In exploratory search, user...
Xuanhui Wang, Bin Tan, Azadeh Shakery, ChengXiang ...
IJPRAI
2002
142views more  IJPRAI 2002»
13 years 6 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...
KDD
2009
ACM
183views Data Mining» more  KDD 2009»
14 years 7 months ago
OLAP on search logs: an infrastructure supporting data-driven applications in search engines
Search logs, which contain rich and up-to-date information about users' needs and preferences, have become a critical data source for search engines. Recently, more and more ...
Bin Zhou 0002, Daxin Jiang, Jian Pei, Hang Li