On ordered weighted averaging aggregation operators in multicriteria decisionmaking
IEEE Transactions on Systems, Man and Cybernetics
Information agent technology for the Internet: a survey
Data & Knowledge Engineering - Special issue on heterogeneous information resources need semantic access
Developing trust in recommender agents
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 1
A Taxonomy of Recommender Agents on theInternet
Artificial Intelligence Review
A Social Mechanism of Reputation Management in Electronic Communities
CIA '00 Proceedings of the 4th International Workshop on Cooperative Information Agents IV, The Future of Information Agents in Cyberspace
Information Agents: The Social Nature of Information and the Role of Trust
CIA '01 Proceedings of the 5th International Workshop on Cooperative Information Agents V
Principles of Trust for MAS: Cognitive Anatomy, Social Importance, and Quantification
ICMAS '98 Proceedings of the 3rd International Conference on Multi Agent Systems
Developing trust in recommender agents
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 1
Evolution of collective commitment during reconfiguration
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 3
Investigating interactions of trust and interest similarity
Decision Support Systems
A user-oriented contents recommendation system in peer-to-peer architecture
Expert Systems with Applications: An International Journal
Decision support for team staffing: An automated relational recommendation approach
Decision Support Systems
Trust-based contextual information filtering
Proceedings of the 2006 International Conference on Privacy, Security and Trust: Bridge the Gap Between PST Technologies and Business Services
Personalised and dynamic trust in social networks
Proceedings of the third ACM conference on Recommender systems
Information Sciences: an International Journal
An approach to trust based on social networks
WISE'07 Proceedings of the 8th international conference on Web information systems engineering
SocialWiki: bring order to wiki systems with social context
SocInfo'10 Proceedings of the Second international conference on Social informatics
Concept-based learning of human behavior for customer relationship management
Information Sciences: an International Journal
Personalized social recommendations: accurate or private
Proceedings of the VLDB Endowment
Recard: using recommendation cards approach for building trust in peer-to-peer networks
ISPEC'05 Proceedings of the First international conference on Information Security Practice and Experience
Bayesian network trust model in peer-to-peer networks
AP2PC'03 Proceedings of the Second international conference on Agents and Peer-to-Peer Computing
Information retrieval in trust-enhanced document networks
EWMF'05/KDO'05 Proceedings of the 2005 joint international conference on Semantics, Web and Mining
Enabling topic-level trust for collaborative information sharing
Personal and Ubiquitous Computing
Research opportunities for argumentation in social networks
Artificial Intelligence Review
Survey of social search from the perspectives of the village paradigm and online social networks
Journal of Information Science
Proceedings of the 23rd international conference on World wide web
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Recommender systems help users to identify particular items that best match their tastes or preferences. When we apply the agent theory to this domain, a standard centralized recommender system becomes a distributed world of recommender agents. Therefore, due to the agent's world, a new information filtering method appears: the opinion-based filtering method. Its main idea is to consider other agents as personal entities which you can rely on or not. Recommender agents can ask their reliable friends for an opinion about a particular item and filter large sets of items based on it. Reliability is expressed through a trust value with which each agent labels its neighbors. Thus, the opinion-based filtering method needs a model of trust in the collaborative world. The model proposed emphasizes proactiveness since the agent looks for other agents in a situation of lack of information instead of remaining passive or providing either a negative or empty answer to the user. Finally, our social model of trust exploits interactiveness while preserving privacy.