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» Competitive recommendation systems
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SIGSOFT
2007
ACM
16 years 2 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 8 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 3 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...
PKDD
2010
Springer
313views Data Mining» more  PKDD 2010»
15 years 7 days ago
Topic Modeling for Personalized Recommendation of Volatile Items
One of the major strengths of probabilistic topic modeling is the ability to reveal hidden relations via the analysis of co-occurrence patterns on dyadic observations, such as docu...
Maks Ovsjanikov, Ye Chen
JCDL
2004
ACM
146views Education» more  JCDL 2004»
15 years 7 months ago
Enhancing digital libraries with TechLens+
The number of research papers available is growing at a staggering rate. Researchers need tools to help them find the papers they should read among all the papers published each y...
Roberto Torres, Sean M. McNee, Mara Abel, Joseph A...