Collaborative Filtering (CF) requires user-rated training examples for statistical inference about the preferences of new users. Active learning strategies identify the most infor...
Internet search engines identify web pages that contain user-specified keywords, and then rank these pages according to their (heuristically assessed) relevance to the user’s qu...
When similarity queries over multimedia databases are processed by splitting the overall query condition into a set of sub-queries, the problem of how to efficiently and effectiv...
Ilaria Bartolini, Paolo Ciaccia, Vincent Oria, M. ...
Developing personalized applications for the ubiquitous Web assumes to provide different user interfaces addressing heterogeneous capabilities of device classes. Major problems are...
Web search engines help users find useful information on the WWW. However, when the same query is submitted by different users, typical search engines return the same result regar...