99 search results - page 12 / 20 » Various aspects of user preference learning and recommender ... |
CIKM
2010
Springer
13 years 9 months ago
2010
Springer
We demonstrate a method for collaborative ranking of future events. Previous work on recommender systems typically relies on feedback on a particular item, such as a movie, and ge...
CAISE
2011
Springer
13 years 2 months ago
2011
Springer
Abstract. Flexibility and automatic learning are key aspects to support users in dynamic business environments such as value chains across SMEs or when organizing a large event. Pr...
RECSYS
2010
ACM
13 years 10 months ago
2010
ACM
Since the development of the comparably simple neighborhood-based methods in the 1990s, a plethora of techniques has been developed to improve various aspects of collaborative fil...
SIGIR
2003
ACM
14 years 3 months ago
2003
ACM
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 ...
KDD
2004
ACM
14 years 10 months ago
2004
ACM
We describe the TiVo television show collaborative recommendation system which has been fielded in over one million TiVo clients for four years. Over this install base, TiVo curre...