Detecting deception in reputation management
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
A survey of trust and reputation systems for online service provision
Decision Support Systems
Increasing trust through the use of 3d e-commerce environment
Proceedings of the 2008 ACM symposium on Applied computing
A framework for evaluating business lead users' virtual reality innovations in Second Life
Electronic Commerce Research
Similarity Computation of Fuzzy Membership Function Pairs with Similarity Measure
ICIC '07 Proceedings of the 3rd International Conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence
Using machine learning to augment collaborative filtering of community discussions
Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems: volume 1 - Volume 1
Inductively generated trust alignments based on shared interactions
Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems: volume 1 - Volume 1
Multi-layer cognitive filtering by behavioral modeling
The 10th International Conference on Autonomous Agents and Multiagent Systems - Volume 2
Narrowing the gap between humans and agents in e-commerce: 3D electronic institutions
EC-Web'05 Proceedings of the 6th international conference on E-Commerce and Web Technologies
Trust, reputation and user modeling
UMAP'11 Proceedings of the 19th international conference on Advances in User Modeling
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As the interest in virtual reality is growing both from academia and industry, its new application areas emerge, one of which is the virtual marketplaces. We have previously proposed that buyers may share their experience with sellers in virtual marketplaces by exchanging their feedback. The feedback is composed of terms describing merchandise based on the users' five senses. However, some of these terms (e.g., soft) may be subjective and have different semantics for different buyers. Thus, alignment of the feedback containing subjective terms becomes an indispensable step before using exchanged feedback for reputation computations. In this paper, we propose a novel approach to align subjectivity in user feedback for reputation computation in virtual marketplaces. We demonstrate how sensory data in virtual reality can be exploited to handle subjectivity and describe how the aligned feedback can be used in seller reputation computation.