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» Temporal diversity in recommender systems
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RECSYS
2009
ACM
15 years 2 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»
14 years 11 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»
14 years 11 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
15 years 3 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
14 years 11 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