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We study the impact of personalized content recommendations on the usage of an educational app for children.
Amazon.com recommendations: Item-to-item collaborative filtering
Linden, G., Smith, B., and York, J. (2003) · 2003
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Recent developments in technology and language learning: A literature review and meta-analysis
Zhao, Y. (2003) · 2003
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Probabilistic matrix factorization
Mnih, A. and Salakhutdinov, R. R. (2007) · 2007
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Effects of the isis recommender system for navigation support in self-organized learning networks
Drachsler, H., Hummel, H., Berg, B., Eshuis, J., Waterink, W., Nadolski, R., Berlanga, A., Boers, N., and Koper, R. (2008) · 2008
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Addressing cold-start problem in recommendation systems
Lam, X. N., Vu, T., Le, T. D., and Duong, A. D. (2008) · 2008
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Computer-assisted language learning trends and issues revisited: Integrating innovation
Garrett, N. (2009) · 2009
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The youtube video recommendation system
Davidson, J., Liebald, B., Liu, J., Nandy, P., Van Vleet, T., Gargi, U., Gupta, S., He, Y., Lambert, M., Livingston, B., et al. (2010) · 2010
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Factorization machines
Rendle, S. (2010) · 2010
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Targeting for long-term outcomes
Yang, J., Eckles, D., Dhillon, P., and Aral, S. (2020) · 2010
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A collaborative filtering approach to mitigate the new user cold start problem
Bobadilla, J., Ortega, F., Hernando, A., and Bernal, J. (2012) · 2012
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Panorama of recommender systems to support learning
Drachsler, H., Verbert, K., Santos, O. C., and Manouselis, N. (2015) · 2015
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The Netflix Recommender System: Algorithms, Business Value, and Innovation
Gomez-Uribe, C. A. and Hunt, N. (2015) · 2015
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Estimating the causal impact of recommendation systems from observational data
Sharma, A., Hofman, J. M., and Watts, D. J. (2015) · 2015
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Music personalization at Spotify
Jacobson, K., Murali, V., Newett, E., Whitman, B., and Yon, R. (2016) · 2016
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Two decades of recommender systems at Amazon.com
Smith, B. and Linden, G. (2017) · 2017
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Generic Machine Learning Inference on Heterogeneous Treatment Effects in Randomized Experiments, with an Application to Immunization in India
Chernozhukov, V., Demirer, M., Duflo, E., and Fernandez-Val, I. (2018) · 2018
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Personal price aware multi-seller recommender system: Evidence from ebay
Greenstein-Messica, A. and Rokach, L. (2018) · 2018
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Burst of the filter bubble? effects of personalization on the diversity of Google News
How Do Recommender Systems Affect Sales Diversity? A Cross-Category Investigation via Randomized Field Experiment
Lee, D. and Hosanagar, K. (2019) · 2019
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Pytorch: An imperative style, high-performance deep learning library
Paszke, A., Gross, S., Massa, F., Lerer, A., Bradbury, J., Chanan, G., Killeen, T., Lin, Z., Gimelshein, N., Antiga, L., et al. (2019) · 2019
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Technology-based review on computer-assisted language learning: A chronological perspective
Tafazoli, D., Huertas Abril, C. A., Gómez Parra, M. E., et al. (2019) · 2019
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A personalized task recommendation system for vocabulary learning based on readability and diversity
Xie, H., Wang, M., Zou, D., and Wang, F. L. (2019) · 2019
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Algorithmic effects on the diversity of consumption on Spotify
Anderson, A., Maystre, L., Anderson, I., Mehrotra, R., and Lalmas, M. (2020) · 2020
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Haim, M., Graefe, A., and Brosius, H.-B. (2018) · 2018
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Who should be treated? empirical welfare maximization methods for treatment choice
Kitagawa, T. and Tetenov, A. (2018) · 2018
Cited alongside, same era.
Do not blame it on the algorithm: an empirical assessment of multiple recommender systems and their impact on content diversity
Möller, J., Trilling, D., Helberger, N., and van Es, B. (2018) · 2018
Cited alongside, same era.
Improving children’s experience on a mobile edtech platform through a recommender system
Ruiz-Iniesta, A., Melgar, L., Baldominos, A., and Quintana, D. (2018) · 2018
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The power of rankings: Quantifying the effect of rankings on online consumer search and purchase decisions
Ursu, R. M. (2018) · 2018
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Generalized random forests
Athey, S., Tibshirani, J., and Wager, S. (2019) · 2019
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Estimating treatment effects with causal forests: An application
Athey, S. and Wager, S. (2019) · 2019
Cited alongside, same era.
Upgrading education with technology: Insights from experimental research
Escueta, M., Nickow, A. J., Oreopoulos, P., and Quan, V. (2020) · 2020
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Recommendation engines
Schrage, M. (2020) · 2020
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A vocabulary recommendation system based on knowledge graph for chinese language learning
Sun, F., Yu, M., Zhang, X., and Chang, T.-W. (2020) · 2020
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Policy learning with observational data
Athey, S. and Wager, S. (2021) · 2021
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The editor and the algorithm: Returns to data and externalities in online news
Claussen, J., Peukert, C., and Sen, A. (2021) · 2021
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Offline multi-action policy learning: Generalization and optimization
Zhou, Z., Athey, S., and Wager, S. (2022) · 2022
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Facing the cold start problem in recommender systems
Lika, B., Kolomvatsos, K., and Hadjiefthymiades, S. (2014) · 2073
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