Alejandro Bellogín
3 papers in the PaperMetrix corpus
Papers by this author
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Measuring anti-relevance
2018
Typically, performance of recommender systems has been measured focusing on the amount of relevant items recommended to the users. However, this perspective provides an incomplete view of an algorithm's quality, since it neglects the amount …
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Simulations for novel problems in recommendation: analyzing\n misinformation and data characteristics
2021 · arXiv (Cornell University)
In this position paper, we discuss recent applications of simulation\napproaches for recommender systems tasks. In particular, we describe how they\nwere used to analyze the problem of misinformation spreading and understand\nwhich data characteristics affect the performance …
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International Workshop on Algorithmic Bias in Search and Recommendation (BIAS)
2024
Creating efficient and effective search and recommendation algorithms has been the main objective of industry practitioners and academic researchers over the years. However, recent research has shown how these algorithms trained on historical data lead …