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» Recommender systems: a market-based design
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SIGSOFT
2007
ACM
14 years 8 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...
ASPLOS
2008
ACM
13 years 9 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...
CSCW
2010
ACM
14 years 4 months ago
Inspired by the audience: a topic suggestion system for blog writers and readers
Employee blogging has benefits both for individuals and the organization. In order to inspire the creation of blog posts, we developed a novel topic suggestion system that connect...
Werner Geyer, Casey Dugan
KDD
2009
ACM
162views Data Mining» more  KDD 2009»
14 years 8 months ago
TrustWalker: a random walk model for combining trust-based and item-based recommendation
Collaborative filtering is the most popular approach to build recommender systems and has been successfully employed in many applications. However, it cannot make recommendations ...
Mohsen Jamali, Martin Ester
DEXA
2009
Springer
175views Database» more  DEXA 2009»
14 years 2 months ago
RoK: Roll-Up with the K-Means Clustering Method for Recommending OLAP Queries
Dimension hierarchies represent a substantial part of the data warehouse model. Indeed they allow decision makers to examine data at different levels of detail with On-Line Analyt...
Fadila Bentayeb, Cécile Favre