Automatic Generation of Product Concepts from Positive Examples, with an Application to Music Streaming

Author:

Goyal KshitijORCID,Meert WannesORCID,Blockeel HendrikORCID,Van Wolputte EliaORCID,Vanderstraeten Koen,Pijpops Wouter,Jaspers Kurt

Publisher

Springer Nature Switzerland

Reference28 articles.

1. Ayata, D., Yaslan, Y., Kamasak, M.E.: Emotion based music recommendation system using wearable physiological sensors. IEEE Trans. Consum. Electron. 64(2), 196–203 (2018)

2. Bahuleyan, H.: Music genre classification using machine learning techniques. arXiv preprint arXiv:1804.01149 (2018)

3. Bai, B., Fan, Y.: Incorporating field-aware deep embedding networks and gradient boosting decision trees for music recommendation. In: The 11th ACM International Conference on Web Search and Data Mining (WSDM) (2017)

4. Bekker, J., Davis, J.: Learning from positive and unlabeled data: a survey. Mach. Learn. 109(4), 719–760 (2020)

5. Bholowalia, P., Kumar, A.: EBK-means: a clustering technique based on elbow method and k-means in WSN. Int. J. Comput. Appl. 105(9) (2014)

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