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ICDM
2007
IEEE
147views Data Mining» more  ICDM 2007»
14 years 1 months ago
Scalable Collaborative Filtering with Jointly Derived Neighborhood Interpolation Weights
Recommender systems based on collaborative filtering predict user preferences for products or services by learning past user-item relationships. A predominant approach to collabo...
Robert M. Bell, Yehuda Koren
IEAAIE
2004
Springer
14 years 29 days ago
Iterative Semi-supervised Learning: Helping the User to Find the Right Records
This paper proposes extending semi-supervised learning by allowing an ongoing interaction between a user and the system. The extension is intended to not only to speed up search fo...
Chris Drummond
JUCS
2010
97views more  JUCS 2010»
13 years 6 months ago
Usage-based Object Similarity
: Recommender systems are widely used online to support users in finding relevant information. They can be based on different techniques such as content-based and collaborative ...
Katja Niemann, Maren Scheffel, Martin Friedrich, U...
IJCSA
2008
108views more  IJCSA 2008»
13 years 7 months ago
Consistency Check Algorithms for Multi-Dimensional Preference Trade-Offs
: Skyline Queries have recently received a lot of attention due to their intuitive query capabilities. Following the concept of Pareto optimality all `best' database objects a...
Christoph Lofi, Wolf-Tilo Balke, Ulrich Güntz...
SDM
2012
SIAM
294views Data Mining» more  SDM 2012»
11 years 10 months ago
Kernelized Probabilistic Matrix Factorization: Exploiting Graphs and Side Information
We propose a new matrix completion algorithm— Kernelized Probabilistic Matrix Factorization (KPMF), which effectively incorporates external side information into the matrix fac...
Tinghui Zhou, Hanhuai Shan, Arindam Banerjee, Guil...