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Service selection and recommendation in integrated network environment

Service selection and recommendation in integrated network environment

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This chapter introduces the background and characteristics of service selection and recommendation in integrated network. Then it details the scenarios and definitions of service selection and recommendation, analyzes various algorithms, techniques, and strategies of service selection and recommendation, and finally summarizes limitations and evaluation indexes for service selection and recommendation approaches.

Chapter Contents:

  • 6.1 Introduction
  • 6.2 Integrated network
  • 6.3 Service selection
  • 6.3.1 Selection problem definition
  • 6.3.1.1 Quality of service attributes
  • 6.3.1.2 Service selection definition
  • 6.3.2 Problem induction
  • 6.3.2.1 Multiple attribute decision making problem
  • 6.3.2.2 Integer linear programming problem
  • 6.3.2.3 Knapsack problem
  • 6.3.2.4 Combinatorial optimization problem
  • 6.3.3 Service selection algorithm
  • 6.3.3.1 Optimization algorithm
  • 6.3.3.2 Genetic algorithm
  • 6.3.3.3 Particle swarm optimization algorithm
  • 6.3.3.4 Ant colony optimization algorithm
  • 6.3.3.5 Fusion algorithm
  • 6.3.4 Service selection summary
  • 6.4 Service recommendation
  • 6.4.1 Recommendation scenarios
  • 6.4.1.1 Commodity recommendation in e-commerce site
  • 6.4.1.2 Advertisement targeting and recommendation
  • 6.4.1.3 Location based service recommendation
  • 6.4.2 Recommendation problem definition
  • 6.4.3 Recommendation systems and techniques
  • 6.4.3.1 Content-based recommendation with heuristic-based technique
  • 6.4.3.2 Content-based recommendation with model-based technique
  • 6.4.3.3 Collaborative recommendation with heuristic technique
  • 6.4.3.4 Collaborative recommendation with model-based technique
  • 6.4.3.5 Hybrid recommendation
  • 6.4.3.6 Mobile recommendation systems
  • 6.4.4 Service recommendation summary
  • 6.4.4.1 Limitation of content-based recommendation
  • 6.4.4.2 Limitation of collaborative recommendation
  • 6.4.4.3 Summary of the recommendation systems research
  • 6.5 Evaluation index
  • 6.5.1 User preference
  • 6.5.2 Accuracy
  • 6.5.3 Coverage
  • 6.5.4 Confidence and trust
  • 6.5.5 Robustness and privacy
  • 6.6 Conclusion
  • References

Inspec keywords: Internet; recommender systems

Other keywords: integrated network environment; Internet; service selection; service recommendation

Subjects: Information networks

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