BCSHCI
2007
13 years 6 months ago
2007
The defining characteristic of the Internet today is an abundance of information and choice. Recommender Systems (RS), designed to alleviate this problem, have so far not been ver...
ESWS
2008
Springer
13 years 6 months ago
2008
Springer
Abstract. Recommender systems face up to current information overload by selecting automatically items that match the personal preferences of each user. The so-called content-based...
CIKM
2008
Springer
13 years 6 months ago
2008
Springer
Data sparsity, scalability and prediction quality have been recognized as the three most crucial challenges that every collaborative filtering algorithm or recommender system conf...
CCS
2010
ACM
13 years 7 months ago
2010
ACM
Recommender systems are used to predict user preferences for products or services. In order to seek better prediction techniques, data owners of recommender systems such as Netfli...
EWCBR
2006
Springer
13 years 8 months ago
2006
Springer
Product recommender systems are a popular application and research field of CBR for several years now. However, almost all CBRbased recommender systems are not case-based in the or...
ETRICS
2006
13 years 8 months ago
2006
Recommender systems are widely used to help deal with the problem of information overload. However, recommenders raise serious privacy and security issues. The personal information...
COOPIS
2004
IEEE
13 years 8 months ago
2004
IEEE
Recommender systems, notably collaborative and hybrid information filtering approaches, vitally depend on neighborhood formation, i.e., selecting small subsets of most relevant pee...
COOPIS
2004
IEEE
13 years 8 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...
CIKM
2004
Springer
13 years 8 months ago
2004
Springer
Recommender systems have been subject to an enormous rise in popularity and research interest over the last ten years. At the same time, very large taxonomies for product classifi...
SIGIR
2010
ACM
13 years 8 months ago
2010
ACM
Collaborative Filtering (CF) algorithms, used to build webbased recommender systems, are often evaluated in terms of how accurately they predict user ratings. However, current eva...