In this paper, we suggest a novel recommender system where set of appropriate propositions is formed by measuring how user query features are close to space all possible propositions. The for e-traders selling commodities. A commodity has hierarchical-structure properties which mapped the respective numerical scales. scales normalized so that from potential customer and any proposition e-trader...

This paper deals with trust modelling for distributed systems especially to multi-context trust modelling for multiagent distributed systems. There exists many trust and reputation models but most of them do not dealt with the multi-context property of trust or reputation. Therefore, the main focus of this thesis is on analysis of multicontext trust based models and provides main assumptions fo...

the rapid growth of world wide web has affected the nature of interactions between customers and companies enormously. one significant consequence of this phenomenon is definitely the emergence and development of e-commerce websites and online stores all over the web. in spite of its great benefits, online shopping could turn into a complicated procedure from the customer point of view. in most...

This paper discusses the 3A recommender system that targets CSCL (computersupported collaborative learning) and CSCW (computer-supported collaborative work) environments. The proposed system models user interactions in a heterogeneous graph. Then, it applies a personalized, contextual, and multi-relational ranking algorithm to simultaneously rank actors, activity spaces, and assets. The results...