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GameRecommendApp

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cd1bb6a8e202d18fab66a4ab824ba5eb88bab6ff

bug fix

committed 10 years ago
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1e9d131daa6dcab1e8acd5227d30349d633f0d87

update readme

yydzhou committed 10 years ago
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65ee7587b05d29097db81ea835c2cb6a357113e2

bug fixed

yydzhou committed 10 years ago
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ee547198e1fac87d6a52d8d4f8c3fc3905813d8b

bug and css fixed

yydzhou committed 10 years ago
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a5fb0a9d06dd4be9594a9fcff801836a46cb2cb6

remove genres json file

yydzhou committed 10 years ago
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1d67c7d6e7688662f59be83ec2a69a7a0f0bd3dd

add genres to db

yydzhou committed 10 years ago

README

The README file for this repository.

GameRecommendApp

A missing game recommender for Steam users who have suffered a long painful way to find a new and awesome game, in the flood of biased and exaggerated comments and recommendations online.

Website: http://gamesyoumiss.herokuapp.com/recom/

FAQ

  • What is this site? It recommends games you might be interested in from what your friends on Steam have recently played

  • Why we have this site? Everyday new game is born and they all looks so awesome. The comments and recommendation online are so un-reliable and biased. It is painful to get the right games from those recommendations.

  • Then why we can get right games from this site? People only spend time on things they love to do. When your friends play hundreds of hours on a new game, there is no doubt to try it out. Our site only recommend the games your friends love, and you are most likey to be interested in.

  • OK, sounds good, but what is Steam? It's not water, buddy.

  • Give me some spec on this application. This application is built upon Django framework. It has been deployed on Heroku. Its recommender is a naive-bayes-classifier-based information retrieval program written in Python. It fetches game information from users' Steam profile via Steam Web API to train naive bayes classifier. The game and user information is stored in a Postgres database for future re-use.