273 search results - page 4 / 55 » Empirical Analysis of Predictive Algorithms for Collaborativ... |
SIGIR
2003
ACM
14 years 20 days 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 ...
ECAI
2006
Springer
13 years 11 months ago
2006
Springer
Abstract. This paper describes a new way of implementing an intelligent web caching service, based on an analysis of usage. Since the cache size in software is limited, and the sea...
UAI
2004
13 years 8 months ago
2004
Collaborative filtering is a useful technique for exploiting the preference patterns of a group of users to predict the utility of items for the active user. In general, the perfo...
SIGIR
2009
ACM
14 years 1 months ago
2009
ACM
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...
AAAI
2006
13 years 8 months ago
2006
The open nature of collaborative recommender systems allows attackers who inject biased profile data to have a significant impact on the recommendations produced. Standard memory-...