Sequential Recommendation via Cross-Domain Novelty Seeking Trait Mining-Reference-Cited by-同舟云学术

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Sequential Recommendation via Cross-Domain Novelty Seeking Trait Mining

Published:2020-03 Issue:2 Volume:35 Page:305-319
ISSN:1000-9000
Container-title:Journal of Computer Science and Technology
language:en
Short-container-title:J. Comput. Sci. Technol.

Author:

Zhuang Fu-Zhen,Zhou Ying-Min,Ying Hao-Chao,Zhang Fu-Zheng,Ao Xiang,Xie Xing,He Qing,Xiong Hui

Publisher

Springer Science and Business Media LLC

Subject

Computational Theory and Mathematics,Computer Science Applications,Hardware and Architecture,Theoretical Computer Science,Software

Link

http://link.springer.com/content/pdf/10.1007/s11390-020-9945-z.pdf

Reference34 articles.

1. Bobadilla J, Ortega F, Hernando A, Gutiérrez A. Recommender systems survey. Knowledge-Based Systems, 2013, 46: 109-132.

2. Su X, Khoshgoftaar T M. A survey of collaborative filtering techniques. Adv. Artificial Intellegence, 2009, 2009: Article No. 421425.

3. Zhang F, Yuan N J, Lian D, Xie X. Mining novelty-seeking trait across heterogeneous domains. In Proc. the 23rd International Conference on World Wide Web, April 2014, pp.373-384.

4. Zhang F, Zheng K, Yuan N J, Xie X, Chen E, Zhou X. A novelty-seeking based dining recommender system. In Proc. the 24th International Conference on World Wide Web, May 2015, pp.1362-1372.

5. Liu Q, Huang Z, Yin Y, Chen E et al. EKT: Exercise-aware knowledge tracing for student performance prediction. IEEE Transactions on Knowledge and Data Engineering. https://doi.org/10.1109/TKDE.2019.2924374.

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1. A Survey of Latent Factor Models in Recommender Systems;2024

2. Proxy-Aware Cross-Domain Sequential Recommendation;2023 International Joint Conference on Neural Networks (IJCNN);2023-06-18

3. Detecting Novelty Seeking From Online Travel Reviews: A Deep Learning Approach;IEEE Access;2023

4. Towards Lightweight Cross-Domain Sequential Recommendation via External Attention-Enhanced Graph Convolution Network;Database Systems for Advanced Applications;2023

5. RecGURU: Adversarial Learning of Generalized User Representations for Cross-Domain Recommendation;Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining;2022-02-11

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