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15 July 2022 PNCF: neural collaborative filtering based on pre-trained embedding
Jianqi Pan, Masayuki Yamamura, Atsushi Yoshikawa
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Proceedings Volume 12258, International Conference on Neural Networks, Information, and Communication Engineering (NNICE 2022); 122580B (2022) https://doi.org/10.1117/12.2639163
Event: International Conference on Neural Networks, Information, and Communication Engineering (NNICE 2022), 2022, Qingdao, China
Abstract
In this paper, we propose the recommendation algorithm PNCF for neural networks. We designed a pre-training task for a distributed representation of embeddings based on many-to-many information. We used the word2vec technique in natural language processing to implement the embedding of users and items. We also constructed a brand-new video website tagauthor pre-training dataset. The code in this paper was implemented in PyTorch and is publicly available on GitHub (github.com/jannchie/ PNCF).
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Jianqi Pan, Masayuki Yamamura, and Atsushi Yoshikawa "PNCF: neural collaborative filtering based on pre-trained embedding", Proc. SPIE 12258, International Conference on Neural Networks, Information, and Communication Engineering (NNICE 2022), 122580B (15 July 2022); https://doi.org/10.1117/12.2639163
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KEYWORDS
Data modeling
Neural networks
Performance modeling
Statistical modeling
Vector spaces
Artificial intelligence
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