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AAAI
2006
15 years 7 months ago
Model-Based Collaborative Filtering as a Defense against Profile Injection Attacks
The open nature of collaborative recommender systems allows attackers who inject biased profile data to have a significant impact on the recommendations produced. Standard memory-...
Bamshad Mobasher, Robin D. Burke, Jeff J. Sandvig
CAISE
2003
Springer
15 years 11 months ago
Recommendation Based Discovery of Dynamic Virtual Communities
Recommendation systems are becoming increasingly popular in various large-scale web-based applications (such as infomediaries, emarketplaces, knowledge portals) since they enable u...
Manos Papagelis, Dimitris Plexousakis
ICCBR
2003
Springer
15 years 11 months ago
On the Role of Diversity in Conversational Recommender Systems
In the past conversational recommender systems have adopted a similarity-based approach to recommendation, preferring cases that are similar to some user query or profile. Recent ...
Lorraine McGinty, Barry Smyth
CCIA
2005
Springer
15 years 11 months ago
Acquiring Unobtrusive Relevance Feedback through Eye-Tracking in Ambient Recommender Systems
Acquiring relevant information to keep user’s preferences up-to-date is crucial in recommender systems in order to close the cycle of recommendations. Ambient Intelligence is a s...
Gustavo González, Beatriz López, Cec...
165
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CSREAEEE
2006
175views Business» more  CSREAEEE 2006»
15 years 7 months ago
A Time-Based Recommender System Using Implicit Feedback
- Recommender systems provide personalized recommendations on products or services to customers. Collaborative filtering is a widely used method of providing recommendations based ...
Tong-Queue Lee, Young Park