Jointly Leveraging Intent and Interaction Signals to Predict User Satisfaction with Slate Recommendations-Reference-Cited by-同舟云学术

Jointly Leveraging Intent and Interaction Signals to Predict User Satisfaction with Slate Recommendations

Published:2019 Issue: Volume: Page:
ISSN:
Container-title:The World Wide Web Conference on - WWW '19
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Author:

Mehrotra Rishabh¹,Lalmas Mounia¹,Kenney Doug²,Lim-Meng Thomas²,Hashemian Golli²

Affiliation:

1. Spotify Research, United Kingdom

2. Spotify, USA

Publisher

ACM Press

Reference43 articles.

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4. Nitesh V Chawla, Kevin W Bowyer, Lawrence O Hall, and W Philip Kegelmeyer. 2002. SMOTE: synthetic minority over-sampling technique. Journal of artificial intelligence research 16 (2002), 321-357.

5. Jean Garcia-Gathright, Brian St Thomas, Christine Hosey, Zahra Nazari, and Fernando Diaz. 2018. Understanding and Evaluating User Satisfaction with Music Discovery. In The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval. ACM, 55-64.

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