A vision for socially incentivised recommendations

Typically, recommender systems focus solely on individual preferences of users or small groups of users, but recommendations can have effects on the wider social structure. Social considerations are there- fore necessary in recommendation generation. In this paper, we identify gaps in literature relevant to socially responsible recommendation sys- tems, and present a number of challenges. Finally, we present a vision for an architecture capable of generating socially responsible recommen- dations and encouraging their acceptance via incentives and rationales.