In general, in most trust evaluation systems, the evaluation of a target party under investigation relies on the trust ratings from responding peers/parties who have direct intera...
Recommendations are crucial for the success of large websites. While there are many ways to determine recommendations, the relative quality of these recommenders depends on many f...
Application of hybrid recommendation enables overcoming disadvantages of the basic recommendation methods: demographic, collaborative and content-based. In this paper the two cons...
This paper presents a novel context-based approach to find reliable recommendations for trust model in ubiquitous environments. Context is used in our approach to analyze the userâ...
There are case-based recommender systems that generate personalized recommendations for users exploiting the knowledge contained in past recommendation cases. These systems assume ...