GoRec: A Generative Cold-start Recommendation Framework

Author:

Bai Haoyue1ORCID,Hou Min1ORCID,Wu Le2ORCID,Yang Yonghui1ORCID,Zhang Kun1ORCID,Hong Richang1ORCID,Wang Meng3ORCID

Affiliation:

1. Key Laboratory of Knowledge Engineering with Big Data, Hefei University of Technology, Hefei, China

2. Key Laboratory of Knowledge Engineering with Big Data, Hefei University of Technology; Institute of Dataspace, Hefei Comprehensive National Science Center, Hefei, China

3. Key Laboratory of Knowledge Engineering with Big Data, Hefei University of Technology; Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei, China

Funder

The National Key Research and Development Program of China

Major Project of Anhui Province

The National Natural Science Foundation of China

Publisher

ACM

Reference45 articles.

1. Iman Barjasteh , Rana Forsati , Dennis Ross , Abdol-Hossein Esfahanian , and Hayder Radha . 2016. Cold-Start Recommendation with Provable Guarantees: A Decoupled Approach. TKDE ( 2016 ). Iman Barjasteh, Rana Forsati, Dennis Ross, Abdol-Hossein Esfahanian, and Hayder Radha. 2016. Cold-Start Recommendation with Provable Guarantees: A Decoupled Approach. TKDE (2016).

2. Oren Barkan , Noam Koenigstein , Eylon Yogev , and Ori Katz . 2016. CB2CF: a neural multiview content-to-collaborative filtering model for completely cold item recommendations. RecSys ( 2016 ). Oren Barkan, Noam Koenigstein, Eylon Yogev, and Ori Katz. 2016. CB2CF: a neural multiview content-to-collaborative filtering model for completely cold item recommendations. RecSys (2016).

3. Hao Chen , Zefan Wang , Feiran Huang , Xiao Huang , Yue Xu , Yishi Lin , Peng He , and Zhoujun Li. 2022. Generative Adversarial Framework for Cold-Start Item Recommendation. SIGIR ( 2022 ). Hao Chen, Zefan Wang, Feiran Huang, Xiao Huang, Yue Xu, Yishi Lin, Peng He, and Zhoujun Li. 2022. Generative Adversarial Framework for Cold-Start Item Recommendation. SIGIR (2022).

4. Lei Chen , Le Wu , Richang Hong , Kun Zhang , and Meng Wang . 2020. Revisiting Graph based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach. AAAI ( 2020 ). Lei Chen, Le Wu, Richang Hong, Kun Zhang, and Meng Wang. 2020. Revisiting Graph based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach. AAAI (2020).

5. Jacob Devlin , Ming-Wei Chang , Kenton Lee , and Kristina Toutanova . 2019 . BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. NAACL (2019). Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. NAACL (2019).

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3. Teaching content recommendations in music appreciation courses via graph embedding learning;International Journal of Machine Learning and Cybernetics;2024-05-16

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