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» Replicable Evaluation of Recommender Systems
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DL
2000
Springer
173views Digital Library» more  DL 2000»
15 years 3 months ago
Content-based book recommending using learning for text categorization
Recommender systems improve access to relevant products and information by making personalized suggestions based on previous examples of a user's likes and dislikes. Most exi...
Raymond J. Mooney, Loriene Roy
INFOCOM
2011
IEEE
14 years 2 months ago
Bayesian-inference based recommendation in online social networks
—In this paper, we propose a Bayesian-inference based recommendation system for online social networks. In our system, users share their content ratings with friends. The rating ...
Xiwang Yang, Yang Guo, Yong Liu
SOSP
2007
ACM
15 years 7 months ago
Tolerating byzantine faults in transaction processing systems using commit barrier scheduling
This paper describes the design, implementation, and evaluation of a replication scheme to handle Byzantine faults in transaction processing database systems. The scheme compares ...
Ben Vandiver, Hari Balakrishnan, Barbara Liskov, S...
ENTER
2009
Springer
15 years 5 months ago
Learning Adaptive Recommendation Strategies for Online Travel Planning
Conversational recommender systems support human-computer interaction strategies in order to assist online tourists in the important activity of dynamic packaging, i.e., in buildi...
Tariq Mahmood, Francesco Ricci, Adriano Venturini
EUROSYS
2009
ACM
15 years 2 months ago
Effective and efficient compromise recovery for weakly consistent replication
Weakly consistent replication of data has become increasingly important both for loosely-coupled collections of personal devices and for large-scale infrastructure services. Unfor...
Prince Mahajan, Ramakrishna Kotla, Catherine C. Ma...