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Using Wikipedia Editor Information to Build High-performance Recommender Systems
June 14, 2023 Β· Declared Dead Β· π arXiv.org
"No code URL or promise found in abstract"
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Authors
Katsuhiko Hayashi
arXiv ID
2306.08636
Category
cs.IR: Information Retrieval
Cross-listed
cs.SI
Citations
0
Venue
arXiv.org
Last Checked
4 months ago
Abstract
Wikipedia has high-quality articles on a variety of topics and has been used in diverse research areas. In this study, a method is presented for using Wikipedia's editor information to build recommender systems in various domains that outperform content-based systems.
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