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» A Knowledge Recommend System Based on User Model
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JUCS
2010
116views more  JUCS 2010»
13 years 6 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 ...
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
OHS
2001
Springer
14 years 4 days ago
Integrating User Data and Collaborative Filtering in a Web Recommendation System
Web-based applications with a large variety of users suffer from the inability to satisfy heterogeneous needs. A remedy for the negative effects of the traditional "one-size-...
Paolo Buono, Maria Francesca Costabile, Stefano Gu...
PST
2004
13 years 9 months ago
The Sensitivities of User Profile Information in Music Recommender Systems
Personalized services can cause privacy concerns, due to the acquisition, storage and application of sensitive personal information. This paper describes empirical research into th...
Evelien van de Garde-Perik, Boris E. R. de Ruyter,...
EDBT
2012
ACM
299views Database» more  EDBT 2012»
11 years 10 months ago
RecStore: an extensible and adaptive framework for online recommender queries inside the database engine
Most recommendation methods (e.g., collaborative filtering) consist of (1) a computationally intense offline phase that computes a recommender model based on users’ opinions o...
Justin J. Levandoski, Mohamed Sarwat, Mohamed F. M...