Services Computing - SCC 2018: 15th International Conference, Held As Part of the Services Conference Federation, SCF 2018, Seattle, WA, USA, June 25-30, 2018, Proceedings

In: Lecture Notes in Computer Science Ser. v.10969

Abstract

Intro -- Preface -- Organization -- Contents -- Research Track: Services Algorithm -- Program Recommendation Algorithm Based on Tag Association Model -- Abstract -- 1 Introduction -- 2 Traditional Collaborative Filtering Algorithm Based on Combination Model -- 2.1 User-Tag Model and Program-Tag Model -- 2.2 Traditional Collaborative Filtering Algorithm Based on the Two Models -- 3 Improved Algorithms Based on Combination Model -- 3.1 New Tag - Tag Model -- 3.2 Improved Algorithm 1 Based on Combination Model -- 3.3 Improved Algorithm 2 Based on Combination Model -- 4 Experiment and Analysis of the Result -- 4.1 Evaluation Indicators -- 4.2 Evaluation and Comparative Analysis -- 5 Conclusion -- References -- Research of Web Service Recommendation Using Bayesian Network Reasoning -- Abstract -- 1 Introduction -- 2 Web Service Organization and Recommendation -- 2.1 Web Service Organization -- 2.2 Web Service Recommendation -- 2.3 Web Service Selection of QoS -- 3 Case Study -- 4 Related Work -- 5 Experiment -- 5.1 Web Service Organization Experiment -- 5.2 Web Service Recommendation Experiment -- 6 Conclusion -- Acknowledgment -- References -- A Survey of Time-Aware Dynamic QoS Forecasting Research, Its Future Challenges and Research Directions -- Abstract -- 1 Introduction -- 2 A Survey of Time-Aware Dynamic QoS Forecasting -- 2.1 Criteria -- 2.2 Comparison -- 2.3 Discussion -- 3 Future Challenges and Research Directions -- 3.1 Time-Aware Dynamic QoS Datasets -- 3.2 Statistical Analysis to QoS Time Series -- 3.3 Forecasting Approaches and Strategies -- 3.4 Integration -- 4 Conclusion -- Acknowledgement -- References -- Efficient Web Service Composition via Knapsack-Variant Algorithm -- 1 Introduction -- 2 Related Work -- 3 Preliminaries and Motivation -- 3.1 Preliminary Knowledge -- 3.2 Motivating Example -- 4 Detailed Methodology.