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AH
2008
Springer
14 years 4 months ago
Locally Adaptive Neighborhood Selection for Collaborative Filtering Recommendations
Abstract. User-to-user similarity is a fundamental component of Collaborative Filtering (CF) recommender systems. In user-to-user similarity the ratings assigned by two users to a ...
Linas Baltrunas, Francesco Ricci
CCS
2010
ACM
13 years 10 months ago
A privacy recommendation wizard for users of social networking sites
Privacy is a huge problem for users of social networking sites. While sites like Facebook allow individual users to personalize fine-grained privacy settings, this has proven quit...
Lujun Fang, Heedo Kim, Kristen LeFevre, Aaron Tami
CONCURRENCY
2002
89views more  CONCURRENCY 2002»
13 years 10 months ago
MyPYTHIA: a recommendation portal for scientific software and services
In this paper, we outline the design of a recommendation system (MyPYTHIA) implemented as a web portal. MyPYTHIA's design objectives include evaluating the quality and perfor...
Elias N. Houstis, Ann Christine Catlin, Nitesh Dha...
JUCS
2010
116views more  JUCS 2010»
13 years 8 months ago
Content Recommendation in APOSDLE using the Associative Network
: One of the success factors of Work Integrated Learning (WIL) is to provide the appropriate content to the users, both suitable for the topics they are currently working on, and t...
Hermann Stern, Rene Kaiser, Philip Hofmair, Peter ...
ICDM
2010
IEEE
172views Data Mining» more  ICDM 2010»
13 years 8 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...