DLRS 2017 - Second workshop on deep learning for recommender systems

Balázs Hidasi, Alexandros Karatzoglou, Oren Sar-Shalom, Sander DIeleman, Bracha Shapira, D. Tikk

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationRecSys 2017 - Proceedings of the 11th ACM Conference on Recommender Systems
PublisherAssociation for Computing Machinery, Inc
Pages370-371
Number of pages2
ISBN (Electronic)9781450346528
DOIs
Publication statusPublished - Aug 27 2017
Event11th ACM Conference on Recommender Systems, RecSys 2017 - Como, Italy
Duration: Aug 27 2017Aug 31 2017

Other

Other11th ACM Conference on Recommender Systems, RecSys 2017
CountryItaly
CityComo
Period8/27/178/31/17

Fingerprint

Recommender systems
Deep learning

Keywords

  • Deep learning
  • Neural networks
  • Recommender systems

ASJC Scopus subject areas

  • Computer Science Applications
  • Control and Systems Engineering
  • Information Systems
  • Software

Cite this

Hidasi, B., Karatzoglou, A., Sar-Shalom, O., DIeleman, S., Shapira, B., & Tikk, D. (2017). DLRS 2017 - Second workshop on deep learning for recommender systems. In RecSys 2017 - Proceedings of the 11th ACM Conference on Recommender Systems (pp. 370-371). Association for Computing Machinery, Inc. https://doi.org/10.1145/3109859.3109953

DLRS 2017 - Second workshop on deep learning for recommender systems. / Hidasi, Balázs; Karatzoglou, Alexandros; Sar-Shalom, Oren; DIeleman, Sander; Shapira, Bracha; Tikk, D.

RecSys 2017 - Proceedings of the 11th ACM Conference on Recommender Systems. Association for Computing Machinery, Inc, 2017. p. 370-371.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Hidasi, B, Karatzoglou, A, Sar-Shalom, O, DIeleman, S, Shapira, B & Tikk, D 2017, DLRS 2017 - Second workshop on deep learning for recommender systems. in RecSys 2017 - Proceedings of the 11th ACM Conference on Recommender Systems. Association for Computing Machinery, Inc, pp. 370-371, 11th ACM Conference on Recommender Systems, RecSys 2017, Como, Italy, 8/27/17. https://doi.org/10.1145/3109859.3109953
Hidasi B, Karatzoglou A, Sar-Shalom O, DIeleman S, Shapira B, Tikk D. DLRS 2017 - Second workshop on deep learning for recommender systems. In RecSys 2017 - Proceedings of the 11th ACM Conference on Recommender Systems. Association for Computing Machinery, Inc. 2017. p. 370-371 https://doi.org/10.1145/3109859.3109953
Hidasi, Balázs ; Karatzoglou, Alexandros ; Sar-Shalom, Oren ; DIeleman, Sander ; Shapira, Bracha ; Tikk, D. / DLRS 2017 - Second workshop on deep learning for recommender systems. RecSys 2017 - Proceedings of the 11th ACM Conference on Recommender Systems. Association for Computing Machinery, Inc, 2017. pp. 370-371
@inproceedings{f23d4d397b9847358979246993253848,
title = "DLRS 2017 - Second workshop on deep learning for recommender systems",
abstract = "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.",
keywords = "Deep learning, Neural networks, Recommender systems",
author = "Bal{\'a}zs Hidasi and Alexandros Karatzoglou and Oren Sar-Shalom and Sander DIeleman and Bracha Shapira and D. Tikk",
year = "2017",
month = "8",
day = "27",
doi = "10.1145/3109859.3109953",
language = "English",
pages = "370--371",
booktitle = "RecSys 2017 - Proceedings of the 11th ACM Conference on Recommender Systems",
publisher = "Association for Computing Machinery, Inc",

}

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, D.

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

UR - http://www.scopus.com/inward/citedby.url?scp=85030455757&partnerID=8YFLogxK

U2 - 10.1145/3109859.3109953

DO - 10.1145/3109859.3109953

M3 - Conference contribution

SP - 370

EP - 371

BT - RecSys 2017 - Proceedings of the 11th ACM Conference on Recommender Systems

PB - Association for Computing Machinery, Inc

ER -