Understanding Music Listening Intents During Daily Activities with Implications for Contextual Music Recommendation-Reference-Cited by-同舟云学术

Understanding Music Listening Intents During Daily Activities with Implications for Contextual Music Recommendation

Published:2018 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2018 Conference on Human Information Interaction&Retrieval - CHIIR '18
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Author:

Volokhin Sergey¹,Agichtein Eugene¹

Affiliation:

1. Emory University, Atlanta, GA, USA

Publisher

ACM Press

Reference31 articles.

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2. Gediminas Adomavicius and Alexander Tuzhilin. 2011. Context-Aware Recommender Systems. Springer, 217--253. https://doi.org/10.1007/978-0--387--85820--3_7

3. Ivana Andjelkovic, Denis Parra, and John O'Donovan. 2016. Moodplay: Interactive Mood-based Music Discovery and Recommendation. In Proceedings of the 2016 Conference on User Modeling Adaptation and Personalization (UMAP '16). 275--279. https://doi.org/10.1145/2930238.2930280

4. Linas Baltrunas and Xavier Amatriain. 2009. Towards Time-Dependant Recommendation based on Implicit Feedback. In Proc. of RECSYS.

5. Fredrik Boström. 2017. AndroMedia - Towards a Context-aware Mobile Music Recommender. Master's thesis.

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