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Erschienen in:
2022 | OriginalPaper | Buchkapitel
Trust Model Recommendation Driven by Application Requirements
verfasst von : Chayma Sellami, Mickaël Baron, Stephane Jean, Mounir Bechchi, Allel Hadjali, Dominique Chabot
Erschienen in: Research Challenges in Information Science
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Abstract
Recommendation systems have taken the turn of the new uses of the Internet, with the emergence of trust-based recommendation systems. These use trust relationships between users to predict ratings based on experiences and feedback. To obtain these ratings, many computational models have been developed to help users make decisions, and to improve interactions between different users within a system. Hence, choosing the appropriate model is challenging. To address this issue, we propose a two-step approach that, first, allows the user to define the requirements of his/her target system and, then, guides him/her to select the most appropriate computational model for his/her application according to the defined requirements.