We investigate the problem of learning to rank for document retrieval from the perspective of learning with multiple objective functions. We present solutions to two open problems...
Krysta Marie Svore, Maksims Volkovs, Christopher J...
Users who are unfamiliar with database query languages can search XML data sets using keyword queries. Previous work has shown that current XML keyword search methods, although in...
The increasing amount of data on the Semantic Web offers opportunities for semantic search. However, formal query hinders the casual users in expressing their information need as t...
Haofen Wang, Kang Zhang, Qiaoling Liu, Thanh Tran,...
This paper examines the reliability of implicit feedback generated from clickthrough data in WWW search. Analyzing the users’ decision process using eyetracking and comparing im...
Thorsten Joachims, Laura A. Granka, Bing Pan, Hele...
Abstract. Online advertising has been suffering serious click fraud problem. Fraudulent publishers can generate false clicks using malicious scripts embedded in their web pages. Ev...
Yanlin Peng, Linfeng Zhang, J. Morris Chang, Yong ...