Adaptive Learning on User Segmentation: Universal to Specific Representation via Bipartite Neural Interaction

Author:

Tan Xiaoyu1ORCID,Deng Yongxin2ORCID,Qu Chao3ORCID,Xue Siqiao4ORCID,Shi Xiaoming4ORCID,Zhang James5ORCID,Qiu Xihe2ORCID

Affiliation:

1. Engineering, INF Technology (Shanghai) Co., Ltd., China

2. Shanghai University of Engineering Science, China

3. INF Technology (Shanghai) Co., Ltd., China

4. AntGroup, China

5. Ant Group, China

Publisher

ACM

Reference49 articles.

1. Avazu. 2015. Click-Through Rate Prediction predict whether a mobile ad will be clicked. https://www.kaggle.com/c/avazu-ctr-prediction/data. Avazu. 2015. Click-Through Rate Prediction predict whether a mobile ad will be clicked. https://www.kaggle.com/c/avazu-ctr-prediction/data.

2. Baidu. 2020. An Open-Source Deep Learning Platform Originated from Industrial Practice PaddlePaddle is dedicated to facilitating innovations and applications of deep learning. https://github.com/PaddlePaddle/PaddleRec. Baidu. 2020. An Open-Source Deep Learning Platform Originated from Industrial Practice PaddlePaddle is dedicated to facilitating innovations and applications of deep learning. https://github.com/PaddlePaddle/PaddleRec.

3. Ran Bi , Tongtong Xu , Mingxue Xu , and Enhong Chen . 2022. PaddlePaddle: A Production-Oriented Deep Learning Platform Facilitating the Competency of Enterprises. In 2022 IEEE 24th Int Conf on High Performance Computing & Communications ; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, Cloud & Big Data Systems & Application (HPCC/DSS/SmartCity/DependSys). IEEE , 92–99. Ran Bi, Tongtong Xu, Mingxue Xu, and Enhong Chen. 2022. PaddlePaddle: A Production-Oriented Deep Learning Platform Facilitating the Competency of Enterprises. In 2022 IEEE 24th Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, Cloud & Big Data Systems & Application (HPCC/DSS/SmartCity/DependSys). IEEE, 92–99.

4. A new collaborative filtering metric that improves the behavior of recommender systems

5. Ludovico Boratto , Salvatore Carta , Gianni Fenu , and Roberto Saia . 2016. Using neural word embeddings to model user behavior and detect user segments. Knowledge-based systems 108 ( 2016 ), 5–14. Ludovico Boratto, Salvatore Carta, Gianni Fenu, and Roberto Saia. 2016. Using neural word embeddings to model user behavior and detect user segments. Knowledge-based systems 108 (2016), 5–14.

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