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» Introduction to recommender systems
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CONCURRENCY
2002
89views more  CONCURRENCY 2002»
14 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»
14 years 9 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»
14 years 9 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...
CIKM
2011
Springer
13 years 11 months ago
ReDRIVE: result-driven database exploration through recommendations
Typically, users interact with database systems by formulating queries. However, many times users do not have a clear understanding of their information needs or the exact content...
Marina Drosou, Evaggelia Pitoura
59
Voted
SIGSOFT
2007
ACM
15 years 11 months ago
Recommending random walks
We improve on previous recommender systems by taking advantage of the layered structure of software. We use a random-walk approach, mimicking the more focused behavior of a develo...
Zachary M. Saul, Vladimir Filkov, Premkumar T. Dev...