The problem is data entry for the recommendation algorithm is insufficient incentive to constantly use it (thereby providing “truthful”, or highly-correlated, user ratings). The ratings themselves must be directly beneficial to the user, so that the user provides truthful data for their own benefit, and secondarily for the recommendation algorithm.
That is, I’d like to catalog my own list of watched movies, and their relative ratings, so that I can have a useful system (or a direct relationship to recommendations — eg More Like This), from which Netflix can scrape for their algorithms.
That is, if I’m not honest to myself, the ratings themselves will not be honest, and not properly reflect my taste.
Specifically, there must be reason to provide negative ratings in addition to positive, to capture user taste.
That is, I’d like to catalog my own list of watched movies, and their relative ratings, so that I can have a useful system (or a direct relationship to recommendations — eg More Like This), from which Netflix can scrape for their algorithms.
That is, if I’m not honest to myself, the ratings themselves will not be honest, and not properly reflect my taste.
Specifically, there must be reason to provide negative ratings in addition to positive, to capture user taste.