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recsys | ACM Conference on Recommender Systems (RecSys)

  • 主办方 / 出版社:ACM
  • 方向:推荐系统
  • CCF等级 / JCR分区:无类
Proceedings of the 2nd Workshop on Deep Learning for Recommender Systems, DLRS@RecSys 2017, Como, Italy, August 27, 2017.
注意,当前年度会议可能有其他论文集合,点击查看
Keynote: Bayesian Deep Learning Models for Recommendation Applications.

Dit-Yan Yeung

Contextual Sequence Modeling for Recommendation with Recurrent Neural Networks.

Elena Smirnova, Flavian Vasile

Specializing Joint Representations for the task of Product Recommendation.

Thomas Nedelec, Elena Smirnova, Flavian Vasile

Towards Recommender Systems for Police Photo Lineup.

Ladislav Peska, Hana Trojanova

Inter-Session Modeling for Session-Based Recommendation.

Massimiliano Ruocco, Ole Steinar Lillestøl Skrede, Helge Langseth

A Deep Multimodal Approach for Cold-start Music Recommendation.

Sergio Oramas, Oriol Nieto, Mohamed Sordo, Xavier Serra

Recurrent Latent Variable Networks for Session-Based Recommendation.

Sotirios P. Chatzis, Panayiotis Christodoulou, Andreas S. Andreou

Music Playlist Continuation by Learning from Hand-Curated Examples and Song Features: Alleviating the Cold-Start Problem for Rare and Out-of-Set Songs.

Andreu Vall, Hamid Eghbal-zadeh, Matthias Dorfer, Markus Schedl, Gerhard Widmer

Comparing Neural and Attractiveness-based Visual Features for Artwork Recommendation.

Vicente Dominguez, Pablo Messina, Denis Parra, Domingo Mery, Christoph Trattner, Alvaro Soto

Auto-Encoding User Ratings via Knowledge Graphs in Recommendation Scenarios.

Vito Bellini, Vito Walter Anelli, Tommaso Di Noia, Eugenio Di Sciascio


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