Category-based and Popularity-guided Video Game Recommendation: A Balance-oriented Framework
Author:
Affiliation:
1. Harbin Institute of Technology, Shenzhen, China
2. Harbin Institute of Technology & City University of Hongkong, Shenzhhen, China
3. Centre for Frontier AI Research, A*STAR & Institute of High-Performance Computing, A*STAR, Singapore, Singapore
Funder
National Natural Science Foundation of China
Basic and Applied Basic Research Foundation of Guangdong Province
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3589334.3645573
Reference50 articles.
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3. C. BharathiPriya Akash Sreenivasu and Sampath Kumar. 2021. Online Video Game Recommendation System Using Content And Collaborative Filtering Techniques. In 2021 International Conference on Advancements in Electrical Electronics Communication Computing and Automation (ICAECA). 1--7.
4. The use of MMR, diversity-based reranking for reordering documents and producing summaries
5. Presence in video games: A systematic review and meta-analysis of the effects of game design choices
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