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» Feature-Weighted User Model for Recommender Systems
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UIC
2010
Springer
13 years 6 months ago
Smart Itinerary Recommendation Based on User-Generated GPS Trajectories
Traveling to unfamiliar regions require a significant effort from novice travelers to plan where to go within a limited duration. In this paper, we propose a smart recommendation...
Hyoseok Yoon, Yu Zheng, Xing Xie, Woontack Woo
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...
AUSDM
2007
Springer
107views Data Mining» more  AUSDM 2007»
14 years 2 months ago
Preference Networks: Probabilistic Models for Recommendation Systems
Recommender systems are important to help users select relevant and personalised information over massive amounts of data available. We propose an unified framework called Prefer...
Tran The Truyen, Dinh Q. Phung, Svetha Venkatesh
AUSAI
2006
Springer
13 years 11 months ago
Incorporating Pageview Weight into an Association-Rule-Based Web Recommendation System
Web recommendation systems based on web usage mining try to mine users' behavior patterns from web access logs, and recommend pages to the online user by matching the user...
Liang Yan, Chunping Li
ECWEB
2009
Springer
112views ECommerce» more  ECWEB 2009»
14 years 2 months ago
Towards Privacy Compliant and Anytime Recommender Systems
Abstract. Recommendation technologies have traditionally been used in domains such as E-commerce and Web navigation to recommend resources to customers so as to help them to get th...
Armelle Brun, Anne Boyer