Trust has been explored by many researchers in the past as a successful solution for assisting recommender systems. Even though the approach of using a web-of-trust scheme for assisting the recommendation production is well adopted, issues like the sparsity problem have not been explored adequately so far with regard to this. In this work we are proposing and testing a scheme that uses the exis...

A recommender system’s ability to establish trust with users and convince them of its recommendations, such as which camera or PC to purchase, is a crucial design factor especially for e-commerce environments. This observation led us to build a trust model for recommender agents with a focus on the agent’s trustworthiness as derived from the user’s perception of its competence and especially it...

In a mobile setting, user preferences vary in different contexts. Advances in mobile technologies have made the collection of user context information feasible, and as a result, the context-aware mobile recommender system field has been formed. Although there exist several different approaches to incorporating context into the recommendation process, context-aware recommendations are still diff...

Context-aware recommender systems (RSs) have been mostly evaluated offline, and very few studies have tried to assess their benefit from the user perspective. Moreover, little research was previously dedicated to integrate the weather context into RSs that could benefit from that information, such as tourism applications. This paper presents a novel context-aware mobile recommender system, name...

Although taste and trust are concepts on clearly distinct ontological levels, they are strongly interrelated in several contexts. For instance, when assessing trust, e.g. through a trust network, it is important to understand the role that personal taste plays in order to correctly interpret potential value dependent trust recommendations and conclusions, in order to provide a sound basis for d...

Trustworthy computing has recently attracted significant interest from researchers in several fields including multi-agent systems, social network analysis, and recommender systems. As an additional dimension of information to past rating history, trust has been shown to be helpful for improving the accuracy of recommendations. Studies on the relationship between trust and rating behaviors may ...

WHO estimates that the number of people with diabetes will grow 114% by 2030.It declares that, patients have to play a major role to control and therapy of diabetes by being provided with updated knowledge about the disease and different aspects of available treatments, diet therapy in particular. In this regard, diets recommender Systems would be helpful. They are techniques and tools which su...

Implicit Trust-Network approach and Recommendation Methodology are employed following the building of a recommender system to improve prediction precision recommendation quality. trust-network enhances exactness users’ preference in system. The methodology increases quality recommendations. Both methods implicit combined introduce new robust called Trust-Network-based (ITNRM). An open-source IT...