Publisher
Springer Nature Switzerland
Reference14 articles.
1. Carlton, J., Brown, A., Jay, C., Keane, J.: Using Interaction Data to Predict Engagement with Interactive Media, pp. 1258–1266. Association for Computing Machinery, New York, NY, USA (2021). https://doi.org/10.1145/3474085.3475631
2. Davoudi, H., Rashidi, Z., An, A., Zihayat, M., Edall, G.: Paywall policy learning in digital news media. IEEE Trans. Knowl. Data Eng. 33(10), 3394–3409 (2021). https://doi.org/10.1109/TKDE.2020.2969419
3. Davoudi, H., Zihayat, M., An, A.: Time-aware subscription prediction model for user acquisition in digital news media. In: Proceedings of the 2017 SIAM International Conference on Data Mining (SDM), pp. 135–143. SIAM (2017). https://doi.org/10.1137/1.9781611974973.16
4. Dorogush, A.V., Gulin, A., Gusev, G., Kazeev, N., Prokhorenkova, L.O., Vorobev, A.: Fighting biases with dynamic boosting. CoRR abs/1706.09516 (2017). http://arxiv.org/abs/1706.09516
5. Fei, Y., Lv, C., Feng, Y., Zhao, D.: Real-time filtering on interest profiles in twitter stream. In: Proceedings of the 16th ACM/IEEE-CS on Joint Conference on Digital Libraries, pp. 263–264. JCDL 2016, ACM, New York, NY, USA (2016). https://doi.org/10.1145/2910896.2925462