Social-Aware VR Configuration Recommendation via Multi-Feedback Coupled Tensor Factorization.
Hsu-Chao Lai|Hong-Han Shuai|De-Nian Yang|Jiun-Long Huang|Wang-Chien Lee|Philip S. Yu
| Anthology ID: | DBLP:conf/cikm/LaiSYHLY19 |
|---|---|
| Volume: | Proceedings of the 28th ACM International Conference on Information and Knowledge Management, CIKM 2019, Beijing, China, November 3-7, 2019. |
| Year: | 2019 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 1773-1782 |
| URL: | https://doi.org/10.1145/3357384.3357952 |
| DOI: | https://doi.org/10.1145/3357384.3357952 |
| DBLP: | conf/cikm/LaiSYHLY19 |
| BibTeX: |
@inproceedings{lai-2019-socialaware,
author = {Hsu-Chao Lai and
Hong-Han Shuai and
De-Nian Yang and
Jiun-Long Huang and
Wang-Chien Lee and
Philip S. Yu},
editor = {Wenwu Zhu and
Dacheng Tao and
Xueqi Cheng and
Peng Cui and
Elke A. Rundensteiner and
David Carmel and
Qi He and
Jeffrey Xu Yu},
title = {{Social-Aware VR Configuration Recommendation via Multi-Feedback Coupled Tensor Factorization}},
booktitle = {{Proceedings of the 28th ACM International Conference on Information and Knowledge Management, CIKM 2019, Beijing, China, November 3-7, 2019}},
pages = {1773--1782},
publisher = {ACM},
year = {2019},
url = {https://doi.org/10.1145/3357384.3357952},
doi = {https://doi.org/10.1145/3357384.3357952}
}