Are You Influenced by Others When Rating?
Author:
Affiliation:
1. Shanghai Jiao Tong University, Shanghai, China
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/2959100.2959141
Reference9 articles.
1. T. Chen and C. Guestrin. Xgboost: A scalable tree boosting system. arXiv:1603.02754 2016. 10.1145/2939672.2939785 T. Chen and C. Guestrin. Xgboost: A scalable tree boosting system. arXiv:1603.02754 2016. 10.1145/2939672.2939785
2. Factorization meets the neighborhood
3. Y. Koren R. Bell and C. Volinsky. Matrix factorization techniques for recommender systems. Computer (8):30--37 2009. 10.1109/MC.2009.263 Y. Koren R. Bell and C. Volinsky. Matrix factorization techniques for recommender systems. Computer (8):30--37 2009. 10.1109/MC.2009.263
4. A methodology for learning, analyzing, and mitigating social influence bias in recommender systems
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