97 search results - page 9 / 20 » Collaborative Filtering Using Associative Neural Memory |
UAI
2003
13 years 8 months ago
2003
Collaborative filtering (CF) allows the preferences of multiple users to be pooled to make recommendations regarding unseen products. We consider in this paper the problem of onl...
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-...
COOPIS
2004
IEEE
13 years 11 months ago
2004
IEEE
Recommender Systems allow people to find the resources they need by making use of the experiences and opinions of their nearest neighbours. Costly annotations by experts are replac...
IJCNN
2006
IEEE
14 years 1 months ago
2006
IEEE
— This paper shows the advantage of using neural network modularity over conventional learning schemes to approximate complex functions. Indeed, it is difficult for artificial ...
ICDM
2008
IEEE
14 years 1 months ago
2008
IEEE
A common task of recommender systems is to improve customer experience through personalized recommendations based on prior implicit feedback. These systems passively track differe...