Learning Intrinsic and Extrinsic Intentions for Cold-start Recommendation with Neural Stochastic Processes-Reference-Cited by-同舟云学术

Learning Intrinsic and Extrinsic Intentions for Cold-start Recommendation with Neural Stochastic Processes

Published:2022-10-10 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 30th ACM International Conference on Multimedia
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Author:

Liu Huafeng¹,Jing Liping²,Yu Dahai³,Zhou Mingjie¹,Ng Michael¹

Affiliation:

1. The University of Hong Kong, Hong Kong, China

2. Beijing Jiaotong University, Beijing, China

3. TCL Corporate Research, Hong Kong, China

Funder

National Key Research and Development Program

Chinese Academy of Sciences

National Natural Science Foundation of China

Joint NSFC-RGC

HKU-TCL Joint Research Centre for Artificial Intelligence

Beijing Natural Science Foundation

CAAI-Huawei MindSpore Open Fund

Hong Kong Research Grant Council

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3503161.3548302

Reference38 articles.

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2. Hyperopt: A Python Library for Optimizing the Hyperparameters of Machine Learning Algorithms

3. Second workshop on information heterogeneity and fusion in recommender systems (HetRec2011)

4. MAMO

5. Wayne W Dyer . 2010. The power of intention: Learning to co-create your world your way . Hay House, Inc. Wayne W Dyer. 2010. The power of intention: Learning to co-create your world your way. Hay House, Inc.

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