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} }