GroupLens: an open architecture for collaborative filtering of netnews
CSCW '94 Proceedings of the 1994 ACM conference on Computer supported cooperative work
Item-based collaborative filtering recommendation algorithms
Proceedings of the 10th international conference on World Wide Web
Pattern Recognition Letters
Amazon.com Recommendations: Item-to-Item Collaborative Filtering
IEEE Internet Computing
Learning Collaborative Information Filters
ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
Quality driven web services composition
WWW '03 Proceedings of the 12th international conference on World Wide Web
QoS-Aware Middleware for Web Services Composition
IEEE Transactions on Software Engineering
CubeSVD: a novel approach to personalized Web search
WWW '05 Proceedings of the 14th international conference on World Wide Web
Non-negative tensor factorization with applications to statistics and computer vision
ICML '05 Proceedings of the 22nd international conference on Machine learning
Investigating web services on the world wide web
Proceedings of the 17th international conference on World Wide Web
Factorization meets the neighborhood: a multifaceted collaborative filtering model
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
Combining global optimization with local selection for efficient QoS-aware service composition
Proceedings of the 18th international conference on World wide web
WSRec: A Collaborative Filtering Based Web Service Recommender System
ICWS '09 Proceedings of the 2009 IEEE International Conference on Web Services
Tensor Decompositions and Applications
SIAM Review
Selecting skyline services for QoS-based web service composition
Proceedings of the 19th international conference on World wide web
Nonnegative Matrix and Tensor Factorizations: Applications to Exploratory Multi-way Data Analysis and Blind Source Separation
ICWS '10 Proceedings of the 2010 IEEE International Conference on Web Services
Distributed QoS Evaluation for Real-World Web Services
ICWS '10 Proceedings of the 2010 IEEE International Conference on Web Services
An Effective Web Service Recommendation Method Based on Personalized Collaborative Filtering
ICWS '11 Proceedings of the 2011 IEEE International Conference on Web Services
Collaborative Web Service QoS Prediction with Location-Based Regularization
ICWS '12 Proceedings of the 2012 IEEE 19th International Conference on Web Services
Personalized recommendation via cross-domain triadic factorization
Proceedings of the 22nd international conference on World Wide Web
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With the rapid growth of Web Service in the past decade, the issue of QoS-aware Web service recommendation is becoming more and more critical. Since the Web service QoS information collection work requires much time and effort, and is sometimes even impractical, the service QoS value is usually missing. There are some work to predict the missing QoS value using traditional collaborative filtering methods based on user-service static model. However, the QoS value is highly related to the invocation context (e.g., QoS value are various at different time). By considering the third dynamic context information, a Temporal QoS-aware Web Service Recommendation Framework is presented to predict missing QoS value under various temporal context. Further, we formalize this problem as a generalized tensor factorization model and propose a Non-negative Tensor Factorization (NTF) algorithm which is able to deal with the triadic relations of user-service-time model. Extensive experiments are conducted based on our real-world Web service QoS dataset collected on Planet-Lab, which is comprised of service invocation response-time and throughput value from 343 users on 5817 Web services at 32 time periods. The comprehensive experimental analysis shows that our approach achieves better prediction accuracy than other approaches.