Bracha Shapira

Senior Academic

RecSys 16 workshop on deep learning for recommender systems (DLRS)

Alexandros Karatzoglou, Balázs Hidasi, Domonkos Tikk, Oren Sar-Shalom, Haggai Roitman,Bracha Shapira

We believe that Deep Learning is one of the next big things in Recommendation Systems technology. The past few years have seen the tremendous success of deep neural networks in a number of complex tasks such as computer vision, nat- ural language processing and speech recognition. Despite this, only little work has been published on Deep Learning methods for Recommender Systems. Notable recent appli- cation areas are music recommendation, news recommenda- tion, and session-based recommendation. The aim of the workshop is to encourage the application of Deep Learning techniques in Recommender Systems, to promote research in deep learning methods for Recommender Systems, and to bring together researchers from the Recommender Systems and Deep Learning communities.

Publication language English
Pages 415-416
Publication status Published - 07.09.2016

Keywords

Deep learning
Neural networks
Recommender systems

ASJC Scopus subject areas

Control and Systems Engineering
Hardware and Architecture
Computer Networks and Communications
Access to Document
10.1145/2959100.2959202
Other files and links
Link to publication in Scopus