Uncovering the Co-driven Mechanism of Social and Content Links in User Churn Phenomena-Reference-Cited by-同舟云学术

Uncovering the Co-driven Mechanism of Social and Content Links in User Churn Phenomena

Published:2019-07-25 Issue: Volume: Page:
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Container-title:Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining
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Author:

Lu Yunfei¹,Yu Linyun²,Cui Peng¹,Zang Chengxi¹,Xu Renzhe¹,Liu Yihao²,Li Lei²,Zhu Wenwu²

Affiliation:

1. Tsinghua University, Beijing, China

2. Bytedance AI Lab, Beijing, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3292500.3330736

Reference33 articles.

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2. Reciprocal and Heterogeneous Link Prediction in Social Networks

3. Partial likelihood

4. Social ties and their relevance to churn in mobile telecom networks

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