关于

来自 https://zhuanlan.zhihu.com/p/47090119

列表

Economics in Recommender Systems
经济学/心理学/组织行为学原理、理论在推荐系统中的应用。

1 Papers
1.1 Utility
[1] Wang, Jian, and Yi Zhang. "Utilizing marginal net utility for recommendation in e-commerce." SIGIR 2011.

刻画用户的边际效用

[2] Zhao, Qi, et al. "Multi-product utility maximization for economic recommendation." WSDM 2017.

用矩阵分解学习效用函数中的参数

1.2 Substitutable & Complementary
替代性商品/互补性商品

[1] McAuley, Julian, Rahul Pandey, and Jure Leskovec. "Inferring networks of substitutable and complementary products." KDD 2015.

[2] McAuley, Julian, et al. "Image-based recommendations on styles and substitutes." SIGIR 2015.

[3] Wang, Zihan, et al. "A path-constrained framework for discriminating substitutable and complementary products in e-commerce." WSDM 2018. (Best Student Paper Award)

[4] Zhang, Yin, et al. "Quality-aware neural complementary item recommendation." RecSys 2018.

1.3 Causal Inference
因果推断

[1] Liang, Dawen, Laurent Charlin, and David M. Blei. "Causal Inference for Recommendation." UAI 2016.

[2] Liang, Dawen, et al. "Modeling user exposure in recommendation." WWW 2016.

[3] Bonner, Stephen, and Flavian Vasile. "Causal embeddings for recommendation." RecSys 2018. (Best Paper Award)

1.4 Debiasing
[1] Schnabel, Tobias, et al. "Recommendations as treatments: Debiasing learning and evaluation." ICML 2016.

[2] Zhang, Xiaoying, Junzhou Zhao, and John Lui. "Modeling the assimilation-contrast effects in online product rating systems: Debiasing and recommendations." RecSys 2017. (Best Paper Award)

1.5 Others
Algorithmic Confounding

[1] Chaney, Allison JB, Brandon M. Stewart, and Barbara E. Engelhardt. "How algorithmic confounding in recommendation systems increases homogeneity and decreases utility." RecSys 2018.

User Expertise

用户经验习得

[2] McAuley, Julian John, and Jure Leskovec. "From amateurs to connoisseurs: modeling the evolution of user expertise through online reviews." WWW 2013.

Price Sensitivity

价格弹性

[3] Wan, Mengting, et al. "Modeling consumer preferences and price sensitivities from large-scale grocery shopping transaction logs." WWW 2017.

Seasonal Factor

季节性因素

[4] Zhang, Yongfeng, et al. "Daily-aware personalized recommendation based on feature-level time series analysis." WWW 2015.

Item Lifetime

产品使用周期

[5] Wang, Jian, and Yi Zhang. "Opportunity model for e-commerce recommendation: right product; right time." SIGIR 2013.

Loyalty

用户忠诚度

[6] Wan, Mengting, et al. "Representing and Recommending Shopping Baskets with Complementarity, Compatibility, and Loyalty." CIKM 2018.

2 Research Groups
1) Yongfeng Zhang, Yi Zhang, Min Zhang, Shaoping Ma @THU / UCSC / Rutgers

2) Mengting Wan, Julian McAuley @UCSD