A Unified Personalized Video Recommendation via Dynamic Recurrent Neural Networks-Reference-Cited by-同舟云学术

A Unified Personalized Video Recommendation via Dynamic Recurrent Neural Networks

Published:2017-10-19 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 25th ACM international conference on Multimedia
language:
Short-container-title:

Author:

Gao Junyu¹,Zhang Tianzhu¹,Xu Changsheng¹

Affiliation:

1. Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China

Funder

Beijing Natural Science Foundation

National Natural Science Foundation of China

Key Research Program of Frontier Sciences CAS

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3123266.3123433

Reference58 articles.

1. Shumeet Baluja Rohan Seth D Sivakumar Yushi Jing Jay Yagnik Shankar Kumar Deepak Ravichandran and Mohamed Aly. 2008. Video suggestion and discovery for youtube: taking random walks through the view graph WWW. 895--904. 10.1145/1367497.1367618 Shumeet Baluja Rohan Seth D Sivakumar Yushi Jing Jay Yagnik Shankar Kumar Deepak Ravichandran and Mohamed Aly. 2008. Video suggestion and discovery for youtube: taking random walks through the view graph WWW. 895--904. 10.1145/1367497.1367618

2. David M Blei and Michael I Jordan. 2003. Modeling annotated data. In SIGIR. 127--134. 10.1145/860435.860460 David M Blei and Michael I Jordan. 2003. Modeling annotated data. In SIGIR. 127--134. 10.1145/860435.860460

3. Bisheng Chen Jingdong Wang Qinghua Huang and Tao Mei. 2012. Personalized video recommendation through tripartite graph propagation MM. 1133--1136. 10.1145/2393347.2396401 Bisheng Chen Jingdong Wang Qinghua Huang and Tao Mei. 2012. Personalized video recommendation through tripartite graph propagation MM. 1133--1136. 10.1145/2393347.2396401

Cited by 46 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Neural networks for intelligent multilevel control of artificial and natural objects based on data fusion: A survey;Information Fusion;2024-10

2. Is Contrastive Learning Necessary? A Study of Data Augmentation vs Contrastive Learning in Sequential Recommendation;Proceedings of the ACM Web Conference 2024;2024-05-13

3. An overview of video recommender systems: state-of-the-art and research issues;Frontiers in Big Data;2023-10-30

4. Synthesizing Videos from Images for Image-to-Video Adaptation;Proceedings of the 31st ACM International Conference on Multimedia;2023-10-26

5. Learning the Co-evolution Process on Live Stream Platforms with Dual Self-attention for Next-topic Recommendations;Proceedings of the 32nd ACM International Conference on Information and Knowledge Management;2023-10-21