Recommending Services in a Trust-Based Decentralized User Modeling System

@inproceedings{Nusrat2011RecommendingSI,
  title={Recommending Services in a Trust-Based Decentralized User Modeling System},
  author={Sabrina Nusrat and Julita Vassileva},
  booktitle={UMAP Workshops},
  year={2011}
}
Trust and reputation mechanisms are often used in peer-to-peer networks, multi-agent systems and online communities for trust-based interactions among the users. Trust values are used to differentiate among members of the community as well as to recommend a service provider. Although different users have different needs and expectations in different aspects of the service providers, traditional trust-based models do not use trust values on neighbors for judging different aspects of service… 
RECOMMENDING SERVICES IN A DIFFERNTIATED TRUST-BASED DECENTRALIZED USER MODELING SYSTEM
TLDR
To the best of my knowledge this is the first system that uses multi-faceted trust values both in the qualities of service-providers and in other users’ ability to evaluate these qualities in a decentralized user modeling system.
Simulating a trust-based service recommender system for decentralised user modelling environment
TLDR
The results show that the trust model allows agents to learn from experience to find good service providers by using recommendations from their friends and that the model is robust with respect to colluding malicious agents.
Identifying Factors for Managing Trust in Open Multi-Agent Systems
TLDR
This comparison highlights significant factors that agent trust management systems utilize in their trust evaluation process and shows that ScubAA is able to consider more trust evidences towards a more accurate value of trust.
De-Centralized Reputation-Based Trust Model to Discriminate between Cloud Providers Capable of Processing Big Data
TLDR
A de-centralized reputation-based trust model that incorporates the user QoS preferences to select the best match Cloud Service Provider to process Big Data is proposed and shows that the proposed model is pliable to users' requirements and efficiently evaluate trust of cloud providers.
The Most Trustworthy Service Provider in E-Commerce Multi-Agent Environments
TLDR
The experimental results indicate that the performance of 2RC is significantly better than other existing models, and is capable of selecting the trustworthy service provider agent more appropriately that other trust models.
A trust-based service suggestion system using human plausible reasoning
TLDR
This paper presents ScubAA, a novel generic ATM framework based on the theory of Human Plausible Reasoning, and proposes a function to figure out how similar two users are in a given context and applies the proposed HPR-based ATM framework to the domain of Web search.
A reputation-oriented trust model for multi-agent environments
TLDR
A new computational model, named reputation-distribute-conflict (R-D-C), to select the most trustworthy provider agent based on computing reputation, disrepute, and conflict of each provider agent is presented.
Agent Trust Management Based on Human Plausible Reasoning: Application to Web Search
  • Sadra Abedinzadeh, S. Sadaoui
  • Computer Science
    2012 International Conference on Privacy, Security, Risk and Trust and 2012 International Confernece on Social Computing
  • 2012
TLDR
A general framework for managing trust in MASs based on the theory of Human Plausible Reasoning (HPR) is presented and a HPR-based ATM framework is applied to the domain of Web search, providing the user with a list of trusted search engines.
A Rough Sets-based Agent Trust Management Framework
TLDR
This paper introduces ROSTAM, a new approach for agent trust management based on the theory of Rough Sets, a generic trust management framework that can be applied to any types of multi agent systems and applied to the domain of cross-language Web search.
A trust model for advisor networks in multi-agent environments / Elham Majd
TLDR
A trust mechanism was proposed that measures and analyzes the trust value of advisors and outperforms current models in providing accurate credibility measurements and computing an accurate trust mechanism for advisor agents in an advisor network, also presenting an accurate decision making process to choose the trustworthy provider.
...
...

References

SHOWING 1-10 OF 37 REFERENCES
Trust and reputation model in peer-to-peer networks
  • Yao Wang, Julita Vassileva
  • Computer Science
    Proceedings Third International Conference on Peer-to-Peer Computing (P2P2003)
  • 2003
TLDR
A Bayesian network-based trust model and a method for building reputation based on recommendations in peer-to-peer networks are proposed and shown to outperforms the system where peers do not share recommendations with each other and that a differentiated trust adds to the performance in terms of percentage of successful interactions.
Bayesian network-based trust model
  • Yao Wang, Julita Vassileva
  • Computer Science
    Proceedings IEEE/WIC International Conference on Web Intelligence (WI 2003)
  • 2003
TLDR
A Bayesian network-based trust model is presented for a file sharing peer-to-peer application and shows how Bayesian networks provide a flexible method to present differentiated trust and combine different aspects of trust.
Supporting trust in virtual communities
  • A. Abdul-Rahman, S. Hailes
  • Computer Science
    Proceedings of the 33rd Annual Hawaii International Conference on System Sciences
  • 2000
TLDR
This paper provides and discusses a trust model that is grounded in real-world social trust characteristics, and based on a reputation mechanism, or word-of-mouth, and allows agents to progressively tune their understanding of another agent's subjective recommendations.
A computational model of trust and reputation
TLDR
This paper first surveys existing literatures on trust, reputation and a related concept: reciprocity and proposes a computational model that can be implemented in a real system to consistently calculate agents' trust and reputation scores.
Community gravity: measuring bidirectional effects by trust and rating on online social networks
TLDR
A theoretical model along with analyses of an actual online E-commerce site are presented, based on the @cosme dataset in addition to the Epinions dataset, which elucidates important insights and proposes a potentially important measure for mining online social networks.
Trust-Based Community Formation in Peer-to-Peer File Sharing Networks
TLDR
This work proposes a mechanism for forming communities in a P2P system for sharing academic papers that requires each agent to compute its trust in the agents with whom it interacts.
A Social Mechanism of Reputation Management in Electronic Communities
TLDR
This work proposes a social mechanism of reputation management, which aims at avoiding interaction with undesirable participants, and leads to a decentralized society in which agents help each other weed out undesirable players.
Decentralized, Agent Based and Social Approaches to User Modelling (DASUM)
TLDR
This work proposes a novel approach to overcome the inherent limitations of CF (sparsity of data and cold start) by exploiting multiple distributed information repositories by exploitingMultiple distributed information repository may belong to a single domain or to different domains.
Formalising Trust as a Computational Concept
TLDR
The thesis presents a testbed populated by simple trusting agents which substantiates the utility of the formalism and provides a step in the direction of a proper understanding and definition of human trust.
POYRAZ: CONTEXT‐AWARE SERVICE SELECTION UNDER DECEPTION
TLDR
Using the proposed approach, service consumers can select the service providers for their needs more accurately even if the consumers have different criteria, they change the contexts of their service demands over time, or a significant portion of them are liars.
...
...