Bias and Debias in Recommender System: A Survey and Future Directions — mentioned by thegginthesky

Mon, 28 Jun 2021 19:11:08 GMT

Thank you for sharing your approach, I find it very interesting. I've worked in some systems that also optimize for "serendipity"[1], which is just optimizing not only for ranking accuracy but also for adding new relevant content into the mix. (I believe you need a lot of data for this to be viable though) > I think the concerns about ML causing echo chambers/other problems, while not completely unfounded, are overblown I disagree that it's overblown. This is a widely discussed topic in ML research, especially around recommender systems [0]. While I do agree that ML systems have enormous…

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Bias and Debias in Recommender System: A Survey and Future Directions · HackerPapers discussions

Bias and Debias in Recommender System: A Survey and Future Directions — mentioned by thegginthesky