Building Recommender Systems for Video Games on Steam
Project Readme
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Scope And Content | readme.md on Github repo |
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GitHub repository
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Raw and output data
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Raw data files: australian_user_reviews.json, australian_users_items.json, bundle_data.json, steam_games.json. |
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- Collection
- Cite This Work
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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
- Description
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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. - Creation Date
- 2019-01-01 - 2019-06-11
- Date Issued
- 2019
- Authors
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- Topics
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- Identifier
- Related Resources
- McAuley, Julian; Kang, Wang-Cheng; Pasricha, Rajiv (2017). Steam Video Game and Bundle Data [Data set]. In Julian McAuley’s Recommender Systems Data Repository. https://cseweb.ucsd.edu/~jmcauley/datasets.html#steam_data
- UCSD DSE: Building Recommender Systems for Video Games on Steam: https://github.com/bcc008/ucsd_dse_capstone_c4g4
Source data
Other resource
- License
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Creative Commons Attribution 4.0 International Public License
- Rights Holder
- Choi, Brian; Ryu, MiSun; Panchal, Dharmesh; Le, Andrew
- Copyright
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Under copyright (US)
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.
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.
- Digital Object Made Available By
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Research Data Curation Program, UC San Diego, La Jolla, 92093-0175 (https://lib.ucsd.edu/rdcp)
- Last Modified
2022-11-28