1725 search results - page 40 / 345 » Feature-based recommendation system |
INTERACT
2003
13 years 11 months ago
2003
: Recommender systems help users sort through vast quantities of information. Sometimes, however, users do not know if they can trust the recommendations they receive. Adding a con...
KDD
2006
ACM
14 years 10 months ago
2006
ACM
Collaborative recommender systems are highly vulnerable to attack. Attackers can use automated means to inject a large number of biased profiles into such a system, resulting in r...
DBSOCIAL
2011
13 years 1 months ago
2011
While search engines are the major sources of content discovery on online content providers and e-commerce sites, their capability is limited since textual descriptions cannot ful...
WWW
2011
ACM
13 years 4 months ago
2011
ACM
As context is acknowledged as an important factor that can affect users’ preferences, many researchers have worked on improving the quality of recommender systems by utilizing ...
CIKM
2009
Springer
14 years 4 months ago
2009
Springer
![Hydra: a hybrid recommender system [cross-linked rating and content information]](https://www.sciweavers.org/files/imagecache/thumbnail/imagecache/hydra_a_hybrid_recommender_system_cross_linked_rating_and_content_information_CIKM_2009.jpg "Hydra: a hybrid recommender system [cross-linked rating and content information]")
This paper discusses the combination of collaborative and contentbased filtering in the context of web-based recommender systems. In particular, we link the well-known MovieLens ...