Social Recommendation with Optimal Limited Attention-Reference-Cited by-同舟云学术

Social Recommendation with Optimal Limited Attention

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:

Wang Xin¹,Zhu Wenwu¹,Liu Chenghao²

Affiliation:

1. Tsinghua University, Beijing, China

2. Singapore Management University, Singapore, Singapore

Funder

National Program on Key Basic Research Project

National Natural Science Foundation of China Major Project

China Postdoctoral Science Foundation

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3292500.3330939

Reference45 articles.

1. Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions

2. Oren Anava and Kfir Levy. 2016. k*-Nearest Neighbors: From Global to Local. In Advances in Neural Information Processing Systems. 4916--4924. Oren Anava and Kfir Levy. 2016. k*-Nearest Neighbors: From Global to Local. In Advances in Neural Information Processing Systems. 4916--4924.

3. Jiawei Chen Yan Feng Martin Ester Sheng Zhou Chun Chen and Can Wang. 2018. Modeling Users' Exposure with Social Knowledge Influence and Consumption Influence for Recommendation. In CIKM. ACM 953--962. 10.1145/3269206.3271742 Jiawei Chen Yan Feng Martin Ester Sheng Zhou Chun Chen and Can Wang. 2018. Modeling Users' Exposure with Social Knowledge Influence and Consumption Influence for Recommendation. In CIKM. ACM 953--962. 10.1145/3269206.3271742

4. Taking It All In;Counts Scott;Visual Attention in Microblog Consumption. ICWSM,2011

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