305 search results - page 31 / 61 » Feature-Weighted User Model for Recommender Systems |
RECSYS
2009
ACM
14 years 2 months ago
2009
ACM
Different buyers exhibit different purchasing behaviors. Some rush to purchase new products while others tend to be more cautious, waiting for reviews from people they trust. In...
KDD
2008
ACM
14 years 8 months ago
2008
ACM
Recommender systems provide users with personalized suggestions for products or services. These systems often rely on Collaborating Filtering (CF), where past transactions are ana...
IUI
2000
ACM
14 years 5 days ago
2000
ACM
In recent years, many systems and approaches for recommending information, products or other objects have been developed. In these systems, often machine learning methods that nee...
DAGM
2006
Springer
13 years 11 months ago
2006
Springer
Automatic image annotation empowers the user to search an image database using keywords, which is often a more practical option than a query-by-example approach. In this work, we p...
RECSYS
2010
ACM
13 years 8 months ago
2010
ACM
Context has been recognized as an important factor to consider in personalized Recommender Systems. However, most model-based Collaborative Filtering approaches such as Matrix Fac...