This paper is concerned with relevance ranking in search, particularly that using term dependency information. It proposes a novel and unified approach to relevance ranking using ...
In recent years there has been a great deal of interest in developing effective techniques for ad-hoc search and retrieval in structured repositories such as relational databases ...
Nishant Kapoor, Gautam Das, Vagelis Hristidis, S. ...
We study the problem of aggregating partial rankings. This problem is motivated by applications such as meta-searching and information retrieval, search engine spam fighting, e-c...
Machine Learned Ranking approaches have shown successes in web search engines. With the increasing demands on developing effective ranking functions for different search domains, ...
Keke Chen, Rongqing Lu, C. K. Wong, Gordon Sun, La...
Meaningful evaluation of web search must take account of spam. Here we conduct a user experiment to investigate whether satisfaction with search engine result pages as a whole is ...
Timothy Jones, David Hawking, Paul Thomas, Ramesh ...