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Publication search results
found 11 matches
- 2017
- Vito Bellini
, Vito Walter Anelli
, Tommaso Di Noia, Eugenio Di Sciascio:
Auto-Encoding User Ratings via Knowledge Graphs in Recommendation Scenarios. DLRS@RecSys 2017: 60-66 - Sotirios P. Chatzis, Panayiotis Christodoulou, Andreas S. Andreou:
Recurrent Latent Variable Networks for Session-Based Recommendation. DLRS@RecSys 2017: 38-45 - Vicente Dominguez, Pablo Messina, Denis Parra
, Domingo Mery
, Christoph Trattner
, Alvaro Soto:
Comparing Neural and Attractiveness-based Visual Features for Artwork Recommendation. DLRS@RecSys 2017: 55-59 - Thomas Nedelec, Elena Smirnova, Flavian Vasile:
Specializing Joint Representations for the task of Product Recommendation. DLRS@RecSys 2017: 10-18 - Sergio Oramas, Oriol Nieto, Mohamed Sordo, Xavier Serra
:
A Deep Multimodal Approach for Cold-start Music Recommendation. DLRS@RecSys 2017: 32-37 - Ladislav Peska, Hana Trojanova:
Towards Recommender Systems for Police Photo Lineup. DLRS@RecSys 2017: 19-23 - Massimiliano Ruocco, Ole Steinar Lillestøl Skrede, Helge Langseth:
Inter-Session Modeling for Session-Based Recommendation. DLRS@RecSys 2017: 24-31 - Elena Smirnova, Flavian Vasile:
Contextual Sequence Modeling for Recommendation with Recurrent Neural Networks. DLRS@RecSys 2017: 2-9 - Andreu Vall, Hamid Eghbal-zadeh, Matthias Dorfer, Markus Schedl, Gerhard Widmer
:
Music Playlist Continuation by Learning from Hand-Curated Examples and Song Features: Alleviating the Cold-Start Problem for Rare and Out-of-Set Songs. DLRS@RecSys 2017: 46-54 - Dit-Yan Yeung:
Keynote: Bayesian Deep Learning Models for Recommendation Applications. DLRS@RecSys 2017: 1 - Balázs Hidasi, Alexandros Karatzoglou, Oren Sar Shalom, Sander Dieleman, Bracha Shapira, Domonkos Tikk:
Proceedings of the 2nd Workshop on Deep Learning for Recommender Systems, DLRS@RecSys 2017, Como, Italy, August 27, 2017. ACM 2017, ISBN 978-1-4503-5353-3 [contents]
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