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SIGIR
2011
ACM
14 years 2 months ago
Utilizing marginal net utility for recommendation in e-commerce
Traditional recommendation algorithms often select products with the highest predicted ratings to recommend. However, earlier research in economics and marketing indicates that a ...
Jian Wang, Yi Zhang
EUSFLAT
2003
103views Fuzzy Logic» more  EUSFLAT 2003»
15 years 1 months ago
Instance-based collaborative filtering with fuzzy labels
In recommender systems, user ratings of items are often represented in terms of linguistic labels such as “fair” or “very good”. We investigate the potential of fuzzy sets...
Eyke Hüllermeier
ICDM
2007
IEEE
186views Data Mining» more  ICDM 2007»
15 years 6 months ago
Mining Interpretable Human Strategies: A Case Study
This paper focuses on mining human strategies by observing their actions. Our application domain is an HCI study aimed at discovering general strategies used by software users and...
Xiaoli Z. Fern, Chaitanya Komireddy, Margaret M. B...
ASUNAM
2009
IEEE
15 years 5 months ago
Filtering Spam in Social Tagging System with Dynamic Behavior Analysis
—Spam in social tagging systems introduced by some malicious participants has become a serious problem for its global popularizing. Some studies which can be deduced to static us...
Bo Liu, Ennan Zhai, Huiping Sun, Yelu Chen, Zhong ...
RECSYS
2009
ACM
15 years 6 months ago
Context-based splitting of item ratings in collaborative filtering
Collaborative Filtering (CF) recommendations are computed by leveraging a historical data set of users’ ratings for items. It assumes that the users’ previously recorded ratin...
Linas Baltrunas, Francesco Ricci