Sequence-aware Recommender Systems-Reference-Cited by-同舟云学术

Sequence-aware Recommender Systems

Published:2018-07-03 Issue: Volume: Page:
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Container-title:Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization
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Author:

Quadrana Massimo¹,Cremonesi Paolo²,Jannach Dietmar³

Affiliation:

1. Pandora Media, Milan, Italy

2. Politecnico di Milano, Milan, Italy

3. Alpen-Adria-Universitat, Klagenfurt, Austria

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3209219.3209270

Reference11 articles.

1. Balázs Hidasi Alexandros Karatzoglou Linas Baltrunas and Domonkos Tikk. 2016. Session-based recommendations with recurrent neural networks International Conference on Learning Representations (ICLR '16). Balázs Hidasi Alexandros Karatzoglou Linas Baltrunas and Domonkos Tikk. 2016. Session-based recommendations with recurrent neural networks International Conference on Learning Representations (ICLR '16).

2. Recommendations with a Purpose

3. When Recurrent Neural Networks meet the Neighborhood for Session-Based Recommendation

4. Session-based item recommendation in e-commerce: on short-term intents, reminders, trends and discounts

5. Komal Kapoor Vikas Kumar Loren Terveen Joseph A. Konstan and Paul Schrater. 2015. "I Like to Explore Sometimes": Adapting to Dynamic User Novelty Preferences Proceedings of the Ninth ACM Conference on Recommender Systems (RecSys '15). 19--26. 10.1145/2792838.2800172 Komal Kapoor Vikas Kumar Loren Terveen Joseph A. Konstan and Paul Schrater. 2015. "I Like to Explore Sometimes": Adapting to Dynamic User Novelty Preferences Proceedings of the Ninth ACM Conference on Recommender Systems (RecSys '15). 19--26. 10.1145/2792838.2800172

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