statistics - Identifying wrong raters of items -


i coded program in people rate different products. per rating people bonus point. more bonus points people more reputation get. issue people give ratings not rate earn bonus points. there mathematical solution identify fake raters?

absolutely. search "shilling recommender systems" in google scholar or elsewhere. there has been decent amount of scholarly work identifying bad actors in recommender systems. there's focus on preventing robot actions (which doesn't seem concern) finding humans rate differently norm (i.e., rating distributions, time-of-rating distributions).

https://scholar.google.com/scholar?hl=en&q=shilling+recommender+systems


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