TY - GEN
T1 - DLRS 2017 - Second workshop on deep learning for recommender systems
AU - Hidasi, Balázs
AU - Karatzoglou, Alexandros
AU - Sar-Shalom, Oren
AU - DIeleman, Sander
AU - Shapira, Bracha
AU - Tikk, Domonkos
PY - 2017/8/27
Y1 - 2017/8/27
N2 - Deep learning methods became widely popular in the recommender systems community in 2016, in part thanks to the previous event of the DLRS workshop series. Now, deep learning has been embedded in the main conference as well and initial research directions have started forming, so the role of DLRS 2017 is to encourage starting new research directions, incentivize the application of very recent techniques from deep learning, and provide a venue for specialized discussion of this topic.
AB - Deep learning methods became widely popular in the recommender systems community in 2016, in part thanks to the previous event of the DLRS workshop series. Now, deep learning has been embedded in the main conference as well and initial research directions have started forming, so the role of DLRS 2017 is to encourage starting new research directions, incentivize the application of very recent techniques from deep learning, and provide a venue for specialized discussion of this topic.
KW - Deep learning
KW - Neural networks
KW - Recommender systems
UR - http://www.scopus.com/inward/record.url?scp=85030455757&partnerID=8YFLogxK
U2 - 10.1145/3109859.3109953
DO - 10.1145/3109859.3109953
M3 - ???researchoutput.researchoutputtypes.contributiontobookanthology.conference???
AN - SCOPUS:85030455757
T3 - RecSys 2017 - Proceedings of the 11th ACM Conference on Recommender Systems
SP - 370
EP - 371
BT - RecSys 2017 - Proceedings of the 11th ACM Conference on Recommender Systems
PB - Association for Computing Machinery, Inc
T2 - 11th ACM Conference on Recommender Systems, RecSys 2017
Y2 - 27 August 2017 through 31 August 2017
ER -