Recommending Costume Matching with User Preference and Expert’s Suggestion-Reference-Cited by-同舟云学术

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Recommending Costume Matching with User Preference and Expert’s Suggestion

Published:2019 Issue: Volume: Page:473-485
ISSN:1865-0929
Container-title:Communications in Computer and Information Science
language:
Short-container-title:

Author:

Hu Yuanyuan,Jiang Wenjun^ORCID

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-15-1301-5_37

Reference28 articles.

1. Chao, X., Huiskes, M.J., Gritti, T., Ciuhu, C.: A framework for robust feature selection for real-time fashion style recommendation. In: International Workshop on Interactive Multimedia for Consumer Electronics (2009)

2. Di, W., Wah, C., Bhardwaj, A., Piramuthu, R., Sundaresan, N.: Style finder: fine-grained clothing style detection and retrieval. In: IEEE Conference on Computer Vision & Pattern Recognition Workshops (2013)

3. Dong, Y., Jiang, W.: Brand purchase prediction based on time-evolving user behaviors in e-commerce. Concurrency Comput.: Pract. Experience 31(1) (2019). https://doi.org/10.1002/cpe.4882

4. Han, X., Wu, Z., Jiang, Y.G., Davis, L.S.: Learning fashion compatibility with bidirectional LSTMs (2017)

5. He, R., Mcauley, J.: VBPR: visual bayesian personalized ranking from implicit feedback (2015)

Cited by 1 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. CNN Based Costume Categorization Approach to Bootstrap the Costume Recommendations;2021 International Conference on Decision Aid Sciences and Application (DASA);2021-12-07

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