13 search results - page 1 / 3 » Item Familiarity Effects in User-Centric Evaluations of Reco... |
CHI
2006
ACM
14 years 4 months ago
2006
ACM
Recommender systems have been developed to address the abundance of choice we face in taste domains (films, music, restaurants) when shopping or going out. However, consumers curr...
I3E
2008
13 years 6 months ago
2008
Abstract. Many e-commerce sites use a recommendation system to filter the specific information that a user wants out of an overload of information. Currently, the usefulness of the...
UM
2007
Springer
13 years 10 months ago
2007
Springer
Abstract. Recommender systems produce social networks as a side effect of predicting what users will like. However, the potential for these social networks to aid in recommending i...
SAC
2008
ACM
13 years 4 months ago
2008
ACM
Recommender Systems (RS) aim at predicting items or ratings of items that the user are interested in. Collaborative Filtering (CF) algorithms such as user- and item-based methods ...
ICCBR
2005
Springer
13 years 10 months ago
2005
Springer
Typically, case-based recommender systems recommend single items to the on-line customer. In this paper we introduce the idea of recommending a user-defined collection of items whe...