Simulating the Impact of Recommender Systems on the Evolution of Collective Users' Choices
HT '20: 31st ACM Conference on Hypertext and Social Media Virtual Event USA July, 2020, pp. 207-212, 2020.
EI
Abstract:
The major focus of recommender systems (RSs) research is on improving the goodness of the generated recommendations. Less attention has been dedicated to understand the effect of an RS on the actual users' choices. Hence, in this paper, we propose a novel simulation model of users' choices under the influence of an RS. The model leverages...More
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