Building Recommender Systems for Video Games on Steam. In Data Science & Engineering Master of Advanced Study (DSE MAS) Capstone Projects
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https://library.ucsd.edu/dc/object/bb5021836n
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资源简介：
MAS DSE Group 4 Capstone project: Building Recommender Systems for Video Games on Steam
The goal of this project was to build a recommender system for video games on Steam. We used the Bayesian Personalized Ranking algorithm on game ownership data to construct a model that would recommend games for users to buy. On top of that, we focused on a variety of data analysis tasks to look at how well the model atacks the cold start problem and how well genre classification corresponds with user purchase patterns.
提供机构：
UC San Diego Library Digital Collections
创建时间：
2019-06-14
