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» Temporal diversity in recommender systems
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RECSYS
2009
ACM
13 years 9 months ago
Effective diverse and obfuscated attacks on model-based recommender systems
Robustness analysis research has shown that conventional memory-based recommender systems are very susceptible to malicious profile-injection attacks. A number of attack models h...
Zunping Cheng, Neil Hurley
I3E
2008
234views Business» more  I3E 2008»
13 years 6 months ago
Development of Recommender Systems Using User Preference Tendencies: An Algorithm for Diversifying Recommendation
Abstract. Many e-commerce sites use a recommendation system to filter the specific information that a user wants out of an overload of information. Currently, the usefulness of the...
Yuki Ogawa, Hirohiko Suwa, Hitoshi Yamamoto, Isamu...
CSREAEEE
2006
174views Business» more  CSREAEEE 2006»
13 years 6 months ago
Using Temporal Information in Collaborative Filtering: An Empirical Study
- Collaborative filtering is a widely used and proven method of building recommender systems that provide personalized recommendations on products or services based on explicit rat...
Young Park, Tong-Queue Lee
ESWS
2005
Springer
13 years 10 months ago
Temporal RDF
The Resource Description Framework (RDF) is a metadata model and language recommended by the W3C. This paper presents a framework to incorporate temporal reasoning into RDF, yieldi...
Claudio Gutiérrez, Carlos A. Hurtado, Aleja...
ICWSM
2008
13 years 6 months ago
A Social Network Based Approach to Personalized Recommendation of Participatory Media Content
Given the rapid growth of participatory media content such as blogs, there is a need to design personalized recommender systems to recommend only useful content to users. We belie...
Aaditeshwar Seth, Jie Zhang