Interleaving experiments are an attractive methodology for evaluating retrieval functions through implicit feedback. Designed as a blind and unbiased test for eliciting a preferen...
Yisong Yue, Yue Gao, Olivier Chapelle, Ya Zhang, T...
Most existing reranking approaches to image search focus solely on mining "visual" cues within the initial search results. However, the visual information cannot always ...
This paper describes an efficient reduction of the learning problem of ranking to binary classification. The reduction guarantees an average pairwise misranking regret of at most t...
In this paper we present a new Document Management System called DrStorage. This DMS is multi-platform, JCR-170 compliant, supports WebDav, versioning, user authentication and aut...
Andrea Agili, Marco Fabbri, Alessandro Panunzi, Ma...
Web search engines face an extremely heterogeneous user population from web novices to highly skilled experts. Currently, the search strategies of the experienced web searchers ar...