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Dataset / Building Recommender Systems for Video Games on Steam

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Title
Building Recommender Systems for Video Games on Steam
Creator
Choi, Brian
Le, Andrew
Panchal, Dharmesh
Ryu, MiSun
Date Created and/or Issued
2019-01-01 - 2019-06-11
Contributing Institution
UC San Diego, Research Data Curation Program
Collection
Data Science & Engineering Master of Advanced Study (DSE MAS) Capstone Projects
Rights Information
Under copyright
Constraint(s) on Use: This work is protected by the U.S. Copyright Law (Title 17, U.S.C.). Use of this work beyond that allowed by "fair use" or any license applied to this work requires written permission of the copyright holder(s). Responsibility for obtaining permissions and any use and distribution of this work rests exclusively with the user and not the UC San Diego Library. Inquiries can be made to the UC San Diego Library program having custody of the work.
Use: This work is available from the UC San Diego Library. This digital copy of the work is intended to support research, teaching, and private study.
Rights Holder and Contact
Choi, Brian; Ryu, MiSun; Panchal, Dharmesh; Le, Andrew
Description
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.
Research Data Curation Program, UC San Diego, La Jolla, 92093-0175 (https://lib.ucsd.edu/rdcp)
Choi, Brian; Ryu, MiSun; Panchal, Dharmesh; Le, Andrew (2019). Building Recommender Systems for Video Games on Steam. In Data Science & Engineering Master of Advanced Study (DSE MAS) Capstone Projects. UC San Diego Library Digital Collections. https://doi.org/10.6075/J0FQ9TZM
Type
dataset
Identifier
ark:/20775/bb5021836n
Subject
Bayesian Personalized Ranking (BPR)
Collaborative filtering
Video games
Data Science & Engineering Master of Advanced Study (DSE MAS)
Steam
Capstone projects
LightFM (Python package)
Recommender system
DSE MAS - 2019 Cohort

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