A Multidimensional Model of Trust in Recommender Systems

As e-commerce providers increasingly utilize recommender systems (RS) to support their customers, trust is emerging as a key factor for the design of such technologies. Although a considerable number of researchers addressed the issue of trust towards RS, there is still no common understanding of how trust relates to the acceptance of RS and what factors influence the perception of trustworthiness in RS. After a discussion on the peculiarities of RS, we build on a literature review of trust in order to analytically distinguish basic concepts of trustworthiness. We propose an integrated model of trustworthiness that accounts for the multiple dimensions and perspectives on trustworthiness in RS. Additionally, we will point out several implications for practice and conclude with suggestions for further research in this area.

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