DLRS 2018: third workshop on deep learning for recommender systems
Authors: 
Balázs Hidasi, 
Alexandros Karatzoglou, Oren Sar-Shalom, Bracha Shapira, 
Domonkos Tikk, Flavian Vasile, Sander DielemanAuthors Info & Claims
Balázs Hidasi, Alexandros Karatzoglou, Oren Sar-Shalom, Bracha Shapira, Domonkos Tikk, Flavian Vasile, Sander DielemanAuthors Info & ClaimsPages 512 - 513
Abstract
Deep learning is now an integral part of recommender systems, but the research is still in its early phase. New research topics pop up frequently and established topics are extended in new, interesting directions. DLRS 2018 is a venue for pioneering work in the intersection of deep learning and recommender systems research.
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Information & Contributors
Information
Published In
September 2018
600 pages
ISBN:9781450359016
DOI:10.1145/3240323
- General Chairs:
- Sole Pera,
- Michael Ekstrand,
- Program Chairs:
- Xavier Amatriain,
- John O'Donovan
Copyright © 2018 Owner/Author.
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 27 September 2018
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Conference
RecSys '18
Sponsor:
RecSys '18: Twelfth ACM Conference on Recommender Systems
October 2, 2018
British Columbia, Vancouver, Canada
Acceptance Rates
RecSys '18 Paper Acceptance Rate 32 of 181 submissions, 18%;
Overall Acceptance Rate 254 of 1,295 submissions, 20%
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