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

Keywords

  • Deep learning
  • Neural networks
  • Recommender systems

ASJC Scopus subject areas

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

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  • 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