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» Feature-Weighted User Model for Recommender Systems
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ICDM
2010
IEEE
172views Data Mining» more  ICDM 2010»
13 years 5 months ago
Learning Attribute-to-Feature Mappings for Cold-Start Recommendations
Cold-start scenarios in recommender systems are situations in which no prior events, like ratings or clicks, are known for certain users or items. To compute predictions in such ca...
Zeno Gantner, Lucas Drumond, Christoph Freudenthal...
WS
2008
ACM
13 years 7 months ago
Recommendations based on semantically enriched museum collections
This article presents the CHIP demonstrator5 for providing personalized access to digital museum collections. It consists of three main components: Art Recommender, Tour Wizard, an...
Yiwen Wang, Natalia Stash, Lora Aroyo, Peter Gorge...
MM
2009
ACM
133views Multimedia» more  MM 2009»
14 years 15 days ago
Friend recommendation according to appearances on photos
Unlike the questionnaire based friend recommendation scheme used in Social Network Service (SNS) websites nowadays (e.g. online dating sites, online matchmaking sites), we focus o...
Zhipeng Wu, Shuqiang Jiang, Qingming Huang
BPM
2008
Springer
188views Business» more  BPM 2008»
13 years 9 months ago
Social Software for Modeling Business Processes
Abstract. The aim of this paper is to show how the use of social networks may help users to behave as modelers they trust. Users are guided in this respect within the context of an...
Agnes Koschmider, Minseok Song, Hajo A. Reijers
KDD
2005
ACM
169views Data Mining» more  KDD 2005»
14 years 8 months ago
Analysis and Detection of Segment-Focused Attacks Against Collaborative Recommendation
Significant vulnerabilities have recently been identified in collaborative filtering recommender systems. These vulnerabilities mostly emanate from the open nature of such systems ...
Bamshad Mobasher, Robin D. Burke, Chad Williams, R...