There are many type of discrimination occurs in the recommendation system, sometime its content and sometime it’s products or service which tends to create Bias in our buying pattern. YouTube would only recommend you top rated or most view content irrespective of its relevance. I would suggest to follow Black and White rule, treat every purchase as 5 start rating unless it is revised by Buyer. This way we would be able to five consistent rating average including all the purchases made on the product .
Such as : Some users inject fake user profiles consisting of biased ratings to affect the recommendation ranking and manipulate the user’s decision. Attacks on recommender system behavior is known as a “shilling” attack or “profile injection” attack. … This way using Attack profile attackers plan to infect targeted item.
What are proxy measures? A proxy is an indirect measure of the desired outcome which is itself strongly correlated to that outcome. It is commonly used when direct measures of the outcome are unobservable and/or unavailable. Also reading from https://olc.worldbank.org/sites/default/files/1.pdf. We can say that Proxy major is mostly used on Read more…
Nowadays most of the e-Commerce firm work with the third party which validates the transaction and approves on the fly in a fraction of seconds. Such providers use machine learning to offer the service, not only that some of such firms (not talking about kount.com) they also offer to pay back to the company if any fraud occurs.