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Simulations for novel problems in recommendation: analyzing misinformation and data characteristics

2021/10/08 by Alejandro Bellogín, Yashar Deldjoo, Bellogín, Alejandro +1
Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Recommender Systems and Techniques #Topic Modeling #cs.IR

paper · pdf · doi:10.48550/arxiv.2110.04037

arxiv created 2021/10/08 · arxiv updated 2021/10/11

Abstract

In this position paper, we discuss recent applications of simulation approaches for recommender systems tasks. In particular, we describe how they were used to analyze the problem of misinformation spreading and understand which data characteristics affect the performance of recommendation algorithms more significantly. We also present potential lines of future work where simulation methods could advance the work in the recommendation community.

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