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The goal of recommendation is to show users items that they will like.
Estimating causal effects of treatments in randomized and nonrandomized studies
Rubin, D. B. (1974) · 1974
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The central role of the propensity score in observational studies for causal effects
Rosenbaum, P. R. & Rubin, D. B. (1983) · 1983
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Statistics and causal inference
Holland, P. W., Glymour, C., & Granger, C. (1985) · 1985
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Modeling user rating profiles for collaborative filtering
Marlin, B. M. (2004) · 2004
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The propensity score with continuous treatments
Hirano, K. & Imbens, G. W. (2004) · 2004
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Causal inference using potential outcomes: Design, modeling, decisions
Rubin, D. B. (2005) · 2005
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Collaborative filtering for implicit feedback datasets
Hu, Y., Koren, Y., & Volinsky, C. (2008) · 2008
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Probabilistic matrix factorization
Mnih, A. & Salakhutdinov, R. R. (2008) · 2008
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Collaborative filtering for implicit feedback datasets
Hu, Y., Koren, Y., & Volinsky, C. (2008) · 2008
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Probabilistic matrix factorization
Mnih, A. & Salakhutdinov, R. R. (2008) · 2008
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Collaborative prediction and ranking with non-random missing data
Marlin, B. M. & Zemel, R. S. (2009) · 2009
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Causality
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Response aware model-based collaborative filtering
Ling, G., Yang, H., Lyu, M. R., & King, I. (2012) · 2012
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Interactive collaborative filtering
Zhao, X., Zhang, W., & Wang, J. (2013) · 2013
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Causal inference in statistics, social, and biomedical sciences
Imbens, G. W. & Rubin, D. B. (2015) · 2015
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Counterfactual estimation and optimization of click metrics in search engines: A case study
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Scalable recommendation with hierarchical poisson factorization
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Modeling user exposure in recommendation
Liang, D., Charlin, L., McInerney, J., & Blei, D. M. (2016) · 2016
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Recommendations as treatments: Debiasing learning and evaluation
Schnabel, T., Swaminathan, A., Singh, A., Chandak, N., & Joachims, T. (2016) · 2016
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Recommendations as treatments: Debiasing learning and evaluation
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Probabilistic matrix factorization with non-random missing data
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Explore-exploit in top-n recommender systems via gaussian processes
Vanchinathan, H. P., Nikolic, I., De Bona, F., & Krause, A. (2014) · 2014
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Scalable recommendation with hierarchical poisson factorization
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Schnabel, T., Swaminathan, A., Singh, A., Chandak, N., & Joachims, T. (2016) · 2016
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Causal inference: A missing data perspective
Ding, P., Li, F., et al. (2018) · 2018
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The blessings of multiple causes
Wang, Y. & Blei, D. M. (2018) · 2018
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The blessings of multiple causes
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On multi-cause approaches to causal inference with unobserved counfounding: Two cautionary failure cases and a promising alternative
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