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199
Voted
WSDM
2010
ACM
245views Data Mining» more  WSDM 2010»
16 years 4 months ago
Improving Quality of Training Data for Learning to Rank Using Click-Through Data
In information retrieval, relevance of documents with respect to queries is usually judged by humans, and used in evaluation and/or learning of ranking functions. Previous work ha...
Jingfang Xu, Chuanliang Chen, Gu Xu, Hang Li, Elbi...
221
Voted
SIGMOD
2011
ACM
176views Database» more  SIGMOD 2011»
14 years 9 months ago
Sharing work in keyword search over databases
An important means of allowing non-expert end-users to pose ad hoc queries — whether over single databases or data integration systems — is through keyword search. Given a set...
Marie Jacob, Zachary G. Ives
179
Voted
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...
208
Voted
CIKM
2006
Springer
15 years 8 months ago
Efficient range-constrained similarity search on wavelet synopses over multiple streams
Due to the resource limitation in the data stream environment, it has been reported that answering user queries according to the wavelet synopsis of a stream is an essential abili...
Hao-Ping Hung, Ming-Syan Chen
208
Voted
CIKM
2009
Springer
15 years 11 months ago
Heterogeneous cross domain ranking in latent space
Traditional ranking mainly focuses on one type of data source, and effective modeling still relies on a sufficiently large number of labeled or supervised examples. However, in m...
Bo Wang, Jie Tang, Wei Fan, Songcan Chen, Zi Yang,...