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» On bootstrapping recommender systems
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SCAM
2007
IEEE
16 years 24 days ago
Reengineering Standard Java Runtime Systems through Dynamic Bytecode Instrumentation
Java bytecode instrumentation is a widely used technique, especially for profiling purposes. In order to ensure the instrumentation of all classes in the system, including dynami...
Walter Binder, Jarle Hulaas, Philippe Moret
WWW
2007
ACM
16 years 7 months ago
Google news personalization: scalable online collaborative filtering
Several approaches to collaborative filtering have been studied but seldom have studies been reported for large (several million users and items) and dynamic (the underlying item ...
Abhinandan Das, Mayur Datar, Ashutosh Garg, ShyamS...
WWW
2006
ACM
16 years 7 months ago
Determining user interests about museum collections
Currently, there is an increasing effort to provide various personalized services on museum web sites. This paper presents an approach for determining user interests in a museum c...
Lloyd Rutledge, Lora Aroyo, Natalia Stash
SIGIR
2009
ACM
16 years 1 months ago
Predicting user interests from contextual information
Search and recommendation systems must include contextual information to effectively model users’ interests. In this paper, we present a systematic study of the effectiveness of...
Ryen W. White, Peter Bailey, Liwei Chen
BPM
2008
Springer
188views Business» more  BPM 2008»
15 years 8 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