DataSys 2017
June 25 - 29, 2017- Venice, Italy

  • AICT 2017, The Thirteenth Advanced International Conference on Telecommunications
  • ICIW 2017, The Twelfth International Conference on Internet and Web Applications and Services
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  • SMART 2017, The Sixth International Conference on Smart Cities, Systems, Devices and Technologies
    • URBAN COMPUTING 2017, The International Symposium on Emerging Frontiers of Urban Computing and Smart Cities
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    • DATASETS 2017, The International Symposium on Designing, Validating, and Using Datasets
  • INFOCOMP 2017, The Seventh International Conference on Advanced Communications and Computation
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  • MOBILITY 2017, The Seventh International Conference on Mobile Services, Resources, and Users
  • SPWID 2017, The Third International Conference on Smart Portable, Wearable, Implantable and Disability-oriented Devices and Systems
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InfoWare 2017
July 23 - 27, 2017 - Nice, France

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  • INTERNET 2017, The Ninth International Conference on Evolving Internet
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    • InManEnt 2017, The International Symposium on Intelligent Manufacturing Environments
  • VISUAL 2017, The Second International Conference on Applications and Systems of Visual Paradigms
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  • BRAININFO 2017, The Second International Conference on Neuroscience and Cognitive Brain Information

NetWare 2017
September 10 - 14, 2017 - Rome, Italy

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  • AFIN 2017, The Ninth International Conference on Advances in Future Internet
  • DEPEND 2017, The Tenth International Conference on Dependability
  • CENICS 2017, The Tenth International Conference on Advances in Circuits, Electronics and Micro-electronics
  • ICQNM 2017, The Eleventh International Conference on Quantum, Nano/Bio, and Micro Technologies
  • FASSI 2017, The Third International Conference on Fundamentals and Advances in Software Systems Integration
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SoftNet 2017
October 8 - 12, 2017- Athens, Greece

  • ICSEA 2017, The Twelfth International Conference on Software Engineering Advances
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  • VALID 2017, The Ninth International Conference on Advances in System Testing and Validation Lifecycle
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NexTech 2017
November 12 - 16, 2017 - Barcelona, Spain

  • UBICOMM 2017, The Eleventh International Conference on Mobile Ubiquitous Computing, Systems, Services and Technologies
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  • AMBIENT 2017, The Seventh International Conference on Ambient Computing, Applications, Services and Technologies
  • EMERGING 2017, The Ninth International Conference on Emerging Networks and Systems Intelligence
  • DATA ANALYTICS 2017, The Sixth International Conference on Data Analytics
  • GLOBAL HEALTH 2017, The Sixth International Conference on Global Health Challenges
  • CYBER 2017, The Second International Conference on Cyber-Technologies and Cyber-Systems

 


ThinkMind // International Journal On Advances in Intelligent Systems, volume 3, numbers 3 and 4, 2010 // View article intsys_v3_n34_2010_13


A Framework for Progressive Trusting Services

Authors:
Oana Dini
Pascal Lorenz
Hervé Guyennet

Keywords: recommenders; reputation; dynamic feedback; services similarity; temporal similarity; use profiles, dynamic patterns

Abstract:
The web-based transactions, web services, and service-oriented platforms require appropriate mechanisms to announce, select, and use different services. A user is always under the dilemma of ‘use and trust’ or ‘trust and use’ for different services based on the notion of service reputation. The interaction between every service provider and its users is regulated by the service level agreement and customer satisfaction feedback. The former is the basis for the technical audit, while the latter subjectively validates the user perception. Selection of a most appropriate service by correctly invoking is a challenge. This is due to the difficulties to correctly expose proper way to invoke a service, to the variety of services, from on-line services, software pieces, to shopping, and to different invoker behavior. When considering invoker feedback, service ranking based on user perception, or based on recommenders’ statistics are relevant. A significant aspect is played by service similarity. The paper presents a framework and appropriate mechanisms to evaluate the services/providers in the light of their respective direct impact on user perception. To accurately evaluate the feedback after service/product consumption, we will refine the user profile by considering the dynamics of the feedback. The approach we propose deals with peaks in feedbacks. We consider quick negative and quick positive feedback as well as late vs. early feedback with respect to the time of the transaction. We propose formal concepts used in selecting an appropriate service. The paper presents adapted approaches to select services based on distance and similarity, and introduces a similarity taxonomy to better tune various kinds of service invocation under specific constraints, such feature relaxation, type of similarity, context, and service ranking. Selection is based on the feedback from the user. The proposed model is used for building a selection algorithm that allows variations on service invocation. The proposal is validated through use cases.

Pages: 326 to 346

Copyright: Copyright (c) to authors, 2010. Used with permission.

Publication date: April 6, 2011

Published in: journal

ISSN: 1942-2679

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