Sciweavers

1617 search results - page 33 / 324
» Buzz-based recommender system
Sort
View
RECSYS
2010
ACM
13 years 9 months ago
Recommending twitter users to follow using content and collaborative filtering approaches
Recently the world of the web has become more social and more real-time. Facebook and Twitter are perhaps the exemplars of a new generation of social, real-time web services and w...
John Hannon, Mike Bennett, Barry Smyth
ESWS
2008
Springer
13 years 10 months ago
Semantic Reasoning: A Path to New Possibilities of Personalization
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...
Yolanda Blanco-Fernández, José J. Pa...
INTERACT
2003
13 years 10 months ago
Confidence Displays and Training in Recommender Systems
: 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...
Sean M. McNee, Shyong K. Lam, Catherine Guetzlaff,...
KDD
2006
ACM
170views Data Mining» more  KDD 2006»
14 years 9 months ago
Classification features for attack detection in collaborative recommender systems
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...
Robin D. Burke, Bamshad Mobasher, Chad Williams, R...
DBSOCIAL
2011
300views Database» more  DBSOCIAL 2011»
13 years 9 days ago
Boosting video popularity through recommendation systems
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...
Renjie Zhou, Samamon Khemmarat, Lixin Gao, Huiqian...