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ICDM
2010
IEEE
172views Data Mining» more  ICDM 2010»
15 years 2 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
14 years 4 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
SIGSOFT
2007
ACM
16 years 5 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...
HICSS
2008
IEEE
147views Biometrics» more  HICSS 2008»
15 years 11 months ago
Toward a Ubiquitous Personalized Daily-Life Activity Recommendation Service with Contextual Information: A Services Science Pers
In recent years Services Science has been an emerging discipline that aims to promote service innovation and increase service productivity by aligning scientific, management, and ...
Chen-Ya Wang, Yueh-Hsun Wu, Seng-cho Timothy Chou
ASPLOS
2008
ACM
15 years 6 months ago
How low can you go?: recommendations for hardware-supported minimal TCB code execution
We explore the extent to which newly available CPU-based security technology can reduce the Trusted Computing Base (TCB) for security-sensitive applications. We find that although...
Jonathan M. McCune, Bryan Parno, Adrian Perrig, Mi...