Interactive Storytelling for Movie Recommendation through Latent Semantic Analysis

Author:

Wegba Kodzo1,Lu Aidong1,Li Yuemeng1,Wang Wencheng2

Affiliation:

1. University of North Carolina at Charlotte, Charlotte, NC, USA

2. Chinese Academy of Sciences, Beijing , China

Funder

NSF

National Natural Science Foundation of China

Publisher

ACM

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Adaptive Bi-Recommendation and Self-Improving Network for Heterogeneous Domain Adaptation-Assisted IoT Intrusion Detection;IEEE Internet of Things Journal;2023-08-01

2. A hybrid intelligent service recommendation by latent semantics and explicit ratings;International Journal of Intelligent Systems;2021-08-15

3. Learning Network-Based Multi-Modal Mobile User Interface Embeddings;26th International Conference on Intelligent User Interfaces;2021-04-13

4. Extending latent semantic analysis to manage its syntactic blindness;Expert Systems with Applications;2021-03

5. Distribution sliders;Proceedings of the Conference on Mensch und Computer;2020-09-04

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