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IUI
2004
ACM
14 years 1 months ago
Don't miss-r --: recommending restaurants through an adaptive mobile system
The present study compares an adaptive simulated cellular-phone based recommender system to a non-adaptive one, in order to evaluate user preferences with respect to system adapti...
Dina Goren-Bar, Tsvi Kuflik
CCS
2010
ACM
13 years 11 months ago
Towards publishing recommendation data with predictive anonymization
Recommender systems are used to predict user preferences for products or services. In order to seek better prediction techniques, data owners of recommender systems such as Netfli...
Chih-Cheng Chang, Brian Thompson, Hui (Wendy) Wang...
RECSYS
2009
ACM
14 years 2 months ago
Rate it again: increasing recommendation accuracy by user re-rating
A common approach to designing Recommender Systems (RS) consists of asking users to explicitly rate items in order to collect feedback about their preferences. However, users have...
Xavier Amatriain, Josep M. Pujol, Nava Tintarev, N...
APVIS
2006
13 years 9 months ago
How people read sociograms: a questionnaire study
Visualizing social network data into sociograms plays an important role in communicating information about network characteristics. Previous studies have shown that human percepti...
Weidong Huang, Seok-Hee Hong, Peter Eades
IAT
2008
IEEE
14 years 2 months ago
An Enhanced Similarity Measure for Utilizing Site Structure in Web Personalization Systems
The need for recommendation systems to ease user navigations has become evident by growth of information on the Web. There exist many approaches of learning for Web usage-based re...
Shaghayegh Sahebi, Farhad Oroumchian, Ramtin Khosr...