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SIGIR
2008
ACM
15 years 4 months ago
EigenRank: a ranking-oriented approach to collaborative filtering
A recommender system must be able to suggest items that are likely to be preferred by the user. In most systems, the degree of preference is represented by a rating score. Given a...
Nathan Nan Liu, Qiang Yang
SPIRE
2010
Springer
15 years 2 months ago
Fingerprinting Ratings for Collaborative Filtering - Theoretical and Empirical Analysis
Abstract. We consider fingerprinting methods for collaborative filtering (CF) systems. In general, CF systems show their real strength when supplied with enormous data sets. Earl...
Yoram Bachrach, Ralf Herbrich
NETWORKING
2004
15 years 5 months ago
A Geometric Derivation of the Probability of Finding a Relay in Multi-rate Networks
Abstract. Relaying can improve performance of a wireless network, especially when different transmission modes with distance/cost tradeoffs are available. Examples of such modes in...
Laura Marie Feeney, Daniel Hollos, Martin Kubisch,...
ICDCSW
2003
IEEE
15 years 9 months ago
Revealing the Retail Black Box by Interaction Sensing
Today a huge variety of methods to track and analyze the customers’ behavior in e-commerce systems is available. However, in traditional retail stores such systems are not widel...
Christian Decker, Uwe Kubach, Michael Beigl
ECIR
2009
Springer
16 years 1 months ago
Active Sampling for Rank Learning via Optimizing the Area under the ROC Curve
Abstract. Learning ranking functions is crucial for solving many problems, ranging from document retrieval to building recommendation systems based on an individual user’s prefer...
Pinar Donmez, Jaime G. Carbonell