论文信息 - MetaCVR - 字舞流文

MetaCVR

Ming Li | Xiaofeng Pan | Jing Zhang | Keren Yu | Hong Wen | Chengjun Mao | Bo Cao | Luping Wang

[1] Fuyu Lv,et al. Hierarchically Modeling Micro and Macro Behaviors via Multi-Task Learning for Conversion Rate Prediction , 2021, SIGIR.

[2] Qiang Liu,et al. Deep Interaction Machine: A Simple but Effective Model for High-order Feature Interactions , 2020, CIKM.

[3] Wen Jiang,et al. Deep Multi-Interest Network for Click-through Rate Prediction , 2020, CIKM.

[4] James Caverlee,et al. Time to Shop for Valentine's Day: Shopping Occasions and Sequential Recommendation in E-commerce , 2020, WSDM.

[5] Jing Zhang,et al. Entire Space Multi-Task Modeling via Post-Click Behavior Decomposition for Conversion Rate Prediction , 2019, SIGIR.

[6] Chang Zhou,et al. Deep Interest Evolution Network for Click-Through Rate Prediction , 2018, AAAI.

[7] Zheng-Jun Zha,et al. Multi-Level Deep Cascade Trees for Conversion Rate Prediction in Recommendation System , 2018, AAAI.

[8] Xiao Ma,et al. Entire Space Multi-Task Model: An Effective Approach for Estimating Post-Click Conversion Rate , 2018, SIGIR.

[9] Gang Fu,et al. Deep & Cross Network for Ad Click Predictions , 2017, ADKDD@KDD.

[10] Guorui Zhou,et al. Deep Interest Network for Click-Through Rate Prediction , 2017, KDD.

[11] Tianqi Chen,et al. XGBoost: A Scalable Tree Boosting System , 2016, KDD.

[12] Bianca Zadrozny,et al. Learning and evaluating classifiers under sample selection bias , 2004, ICML.