Memory-based approaches for collaborative filtering identify the similarity between two users by comparing their ratings on a set of items. In the past, the memory-based approache...
Collaborative filtering aims at learning predictive models of user preferences, interests or behavior from community data, i.e. a database of available user preferences. In this ...
Recommender systems based on collaborative filtering predict user preferences for products or services by learning past user-item relationships. A predominant approach to collabo...
We describe an implementation that has users `flick' notes, images, audio, and video files onto virtual piles beyond the display of small-screen devices. This scheme allows P...
QianYing Wang, Tony Hsieh, Meredith Ringel Morris,...
Abstract. Magpie is a suite of tools supporting a ‘zero-cost’ approach to semantic web browsing: it avoids the need for manual annotation by automatically associating an ontolo...