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KDD
2006
ACM
172views Data Mining» more  KDD 2006»
14 years 9 months ago
Attack detection in time series for recommender systems
Recent research has identified significant vulnerabilities in recommender systems. Shilling attacks, in which attackers introduce biased ratings in order to influence future recom...
Sheng Zhang, Amit Chakrabarti, James Ford, Fillia ...
LREC
2008
101views Education» more  LREC 2008»
13 years 10 months ago
The INFILE Project: a Crosslingual Filtering Systems Evaluation Campaign
The InFile project (INformation, FILtering, Evaluation) is a cross-language adaptive filtering evaluation campaign, sponsored by the French National Research Agency. The campaign ...
Romaric Besançon, Stéphane Chaudiron...
ENTER
2009
Springer
14 years 3 months ago
Learning Adaptive Recommendation Strategies for Online Travel Planning
Conversational recommender systems support human-computer interaction strategies in order to assist online tourists in the important activity of dynamic packaging, i.e., in buildi...
Tariq Mahmood, Francesco Ricci, Adriano Venturini
FLAIRS
2008
13 years 11 months ago
A Mixture Imputation-Boosted Collaborative Filter
Recommendation systems suggest products to users. Collaborative filtering (CF) systems, which base those recommendations on a database of previous ratings by various users and pro...
Xiaoyuan Su, Taghi M. Khoshgoftaar, Russell Greine...
CN
1998
119views more  CN 1998»
13 years 8 months ago
The Order of Things: Activity-Centred Information Access,
This paper focuses on the representation and access of Web-based information, and how to make such a representation adapt to the activities or interests of individuals within a co...
Matthew Chalmers, Kerry Rodden, Dominique Brodbeck