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SIGMOD
2004
ACM
184views Database» more  SIGMOD 2004»
16 years 6 months ago
Identifying Similarities, Periodicities and Bursts for Online Search Queries
We present several methods for mining knowledge from the query logs of the MSN search engine. Using the query logs, we build a time series for each query word or phrase (e.g., `Th...
Michail Vlachos, Christopher Meek, Zografoula Vage...
WWW
2010
ACM
16 years 1 months ago
Large-scale bot detection for search engines
In this paper, we propose a semi-supervised learning approach for classifying program (bot) generated web search traffic from that of genuine human users. The work is motivated by...
Hongwen Kang, Kuansan Wang, David Soukal, Fritz Be...
WSDM
2009
ACM
115views Data Mining» more  WSDM 2009»
16 years 1 months ago
Discovering and using groups to improve personalized search
Personalized Web search takes advantage of information about an individual to identify the most relevant results for that person. A challenge for personalization lies in collectin...
Jaime Teevan, Meredith Ringel Morris, Steve Bush
WWW
2006
ACM
16 years 7 months ago
Automatic identification of user interest for personalized search
One hundred users, one hundred needs. As more and more topics are being discussed on the web and our vocabulary remains relatively stable, it is increasingly difficult to let the ...
Feng Qiu, Junghoo Cho
ICDE
2011
IEEE
241views Database» more  ICDE 2011»
14 years 10 months ago
Advanced search, visualization and tagging of sensor metadata
— As sensors continue to proliferate, the capabilities of effectively querying not only sensor data but also its metadata becomes important in a wide range of applications. This ...
Ioannis K. Paparrizos, Hoyoung Jeung, Karl Aberer