682 search results - page 63 / 137 » Replicable Evaluation of Recommender Systems |
UM
2007
Springer
15 years 5 months ago
2007
Springer
One of the main problems of collaborative filtering recommenders is the sparsity of the ratings in the users-items matrix, and its negative effect on the prediction accuracy. This ...
101
Voted
EWCBR
1998
Springer
15 years 3 months ago
1998
Springer
In this paper, we present our case-based browsing advisor for the Web, called BROADWAY. BROADWAY follows a group of users during their navigations and supports an indirect collabor...
77
Voted
IJCAI
2003
15 years 9 days ago
2003
Increasing dialogue efficiency in case-based reasoning (CBR) must be balanced against the risk of commitment to a sub-optimal solution. Focusing on incremental query elicitation i...
CIKM
2009
Springer
15 years 5 months ago
2009
Springer
Traditionally, collaborative filtering (CF) algorithms used for recommendation operate on complete knowledge. This makes these algorithms hard to employ in a decentralized contex...
UM
2009
Springer
15 years 5 months ago
2009
Springer
Collaborative filtering (CF) techniques have proved to be a powerful and popular component of modern recommender systems. Common approaches such as user-based and item-based metho...