RecSys'16 Workshop on Deep Learning for Recommender Systems (DLRS)

Alexandros Karatzoglou, Balázs Hidasi, D. Tikk, Oren Sar Shalom, Haggai Roitman, Bracha Shapira, L. Rokach
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引用次数: 19

Abstract

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, natural language processing and speech recognition. Despite this, only little work has been published on Deep Learning methods for Recommender Systems. Notable recent application areas are music recommendation, news recommendation, 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.
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RecSys'16深度学习推荐系统(DLRS)研讨会
我们相信深度学习是推荐系统技术的下一个重大事件之一。过去几年,深度神经网络在计算机视觉、自然语言处理和语音识别等许多复杂任务中取得了巨大成功。尽管如此,关于推荐系统的深度学习方法的研究还很少。最近值得注意的应用领域是音乐推荐、新闻推荐和基于会话的推荐。研讨会的目的是鼓励深度学习技术在推荐系统中的应用,促进推荐系统中深度学习方法的研究,并将来自推荐系统和深度学习社区的研究人员聚集在一起。
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