A Hybrid Collaborative Filtering System for Contextual Recommendations in Social Networks
DS '09 Proceedings of the 12th International Conference on Discovery Science
A collaborative filtering approach to mitigate the new user cold start problem
Knowledge-Based Systems
Using association rules to solve the cold-start problem in recommender systems
PAKDD'10 Proceedings of the 14th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining - Volume Part I
Supercharging recommender systems using taxonomies for learning user purchase behavior
Proceedings of the VLDB Endowment
Knowledge-Based Systems
Taxonomy discovery for personalized recommendation
Proceedings of the 7th ACM international conference on Web search and data mining
QoS-Aware scheduling in heterogeneous datacenters with paragon
ACM Transactions on Computer Systems (TOCS)
A Monte Carlo algorithm for cold start recommendation
Proceedings of the 23rd international conference on World wide web
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In this paper, a new dynamic clustering algorithm basedon random sampling is proposed. The algorithm addresseswell known challenges in clustering such as Dynamism, Stability, and Scaling. The core of the proposed method isbased on the definition of a ...