##Research Discussion Assignment1
Now that we have covered basic techniques for recommender systems, choose one commercial recommender and describe how you think it works (content-based, collaborative filtering, etc). Does the technique deliver a good experience or are the recommendations off-target?
You may also choose one of the three non-personalized recommenders (below) we went over in class and describe the technique and which of the three you prefer to use.
Metacritic is a website that aggregates Tv shows, films,music albums and video games. For each category, the scores for each review are averaged(weighted average). The site provides an short summary of the review and a hyerlink to its source. In my opinion this is ited-based collaborative filtering based off of the way the scores are accumulated. One of the main criticism of thier scoring system is that a couple of lw scores can have a huge impact because they try to give more of a raw score. Another criticism is the use of throw-away accounts who either bring the scores up or down. This is an interesting article about Metacritic that focuses on the difference between video game experts and amateurs. https://dl.acm.org/doi/10.1145/3359242