Amazon.com Recommendations: Item-to-Item Collaborative Filtering
IEEE Internet Computing
Evaluating collaborative filtering recommender systems
ACM Transactions on Information Systems (TOIS)
QoS computation and policing in dynamic web service selection
Proceedings of the 13th international World Wide Web conference on Alternate track papers & posters
Automatic Measurement of a QoS Metric for Web Service Recommendation
ASWEC '05 Proceedings of the 2005 Australian conference on Software Engineering
Similarity-based Web Service Matchmaking
SCC '05 Proceedings of the 2005 IEEE International Conference on Services Computing - Volume 01
Quality Driven Web Services Selection
ICEBE '05 Proceedings of the IEEE International Conference on e-Business Engineering
Dynamic Selection of Web Services with Recommendation System
NWESP '05 Proceedings of the International Conference on Next Generation Web Services Practices
Establishing Association between QoS Properties in Service Oriented Architecture
NWESP '05 Proceedings of the International Conference on Next Generation Web Services Practices
Efficient algorithms for Web services selection with end-to-end QoS constraints
ACM Transactions on the Web (TWEB)
Trust-aware recommender systems
Proceedings of the 2007 ACM conference on Recommender systems
Similarity search for web services
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
Robust Application-Level QoS Management in Service-Oriented Systems
ICEBE '08 Proceedings of the 2008 IEEE International Conference on e-Business Engineering
Generalized Semantics-Based Service Composition
ICWS '08 Proceedings of the 2008 IEEE International Conference on Web Services
Combining global optimization with local selection for efficient QoS-aware service composition
Proceedings of the 18th international conference on World wide web
SGPS: a semantic scheme for web service similarity
Proceedings of the 18th international conference on World wide web
Optimizing Service Systems Based on Application-Level QoS
IEEE Transactions on Services Computing
Expert Systems with Applications: An International Journal
Collaborative filtering recommender systems
The adaptive web
ICWS '10 Proceedings of the 2010 IEEE International Conference on Web Services
Recommendation on Uncertain Services
ICWS '10 Proceedings of the 2010 IEEE International Conference on Web Services
Service Recommendation: Similarity-Based Representative Skyline
SERVICES '10 Proceedings of the 2010 6th World Congress on Services
Using Context Similarity for Service Recommendation
ICSC '10 Proceedings of the 2010 IEEE Fourth International Conference on Semantic Computing
An Adaptive and Intelligent SLA Negotiation System for Web Services
IEEE Transactions on Services Computing
QoS-Aware Web Service Recommendation by Collaborative Filtering
IEEE Transactions on Services Computing
A qos-aware selection model for semantic web services
ICSOC'06 Proceedings of the 4th international conference on Service-Oriented Computing
QoS-Based service selection and ranking with trust and reputation management
OTM'05 Proceedings of the 2005 Confederated international conference on On the Move to Meaningful Internet Systems - Volume >Part I
Similarity Measures for Substituting Web Services
International Journal of Web Services Research
Modelling and exploring historical records to facilitate service composition
International Journal of Web and Grid Services
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The number of web services increased exponentially in the past decade. Identifying a set of best candidates from vast services is the first step of composite service recommendation. Much of the previous work focused on the accuracy and efficiency in service matchmaking and optimization. Little attention was paid to the logs of web service execution, which contain diverse information such as service functionality, QoS record, execution order, etc. In this paper, we present how we apply Bayesian approach in analyzing service execution logs and then recommend an optimized service sequence based on the original service sequence. Compared with the existing methods, the approach has two main advantages: first, the resulting service sequences are more robust and compatible; second, the result has higher both explicit and implicit quality. The authors also propose three algorithms that are based on the recommendation approach. At the end, the authors show the experiment results to illustrate how this work helps facilitate composite service recommendation.