A recommender system must be able to suggest items that are likely to be preferred by the user. In most systems, the degree of preference is represented by a rating score. Given a...
We present a brief review of 42 collaborative visualization systems, grouped into four application areas: collaborative problem-solving environments, virtual reality environments,...
With an explosion in the proliferation of user-generated content in communities, information overload is increasing and quality of readily available online content is deterioratin...
Understanding query reformulation patterns is a key step towards next generation web search engines: it can help improving users’ web-search experience by predicting their inten...
Paolo Boldi, Francesco Bonchi, Carlos Castillo, Se...
Recommender Systems, based on collaborative filtering (CF), aim to accurately predict user tastes, by minimising the mean error achieved on hidden test sets of user ratings, afte...