Image-Based Fashion Product Recommendation with Deep Learning-Reference-Cited by-同舟云学术

Image-Based Fashion Product Recommendation with Deep Learning

Published:2019 Issue: Volume: Page:472-481
ISSN:0302-9743
Container-title:Machine Learning, Optimization, and Data Science
language:
Short-container-title:

Author:

Tuinhof Hessel,Pirker Clemens,Haltmeier Markus

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-13709-0_40

Reference20 articles.

1. Chen, L., Yang, F., Yang, H.: Image-based product recommendation system with convolutional neural networks (2017)

2. Chen, T., et al.: MXNET: a flexible and efficient machine learning library for heterogeneous distributed systems. arXiv preprint arXiv:1512.01274 (2015)

3. Dick, A.S., Basu, K.: Customer loyalty: toward an integrated conceptual framework. J. Acad. Market. Sci. 22(2), 99–113 (1994)

4. Goodfellow, I., Bengio, Y., Courville, A.: Deep Learning. MIT, Cambridge (2016)

5. Häubl, G., Murray, K.B.: Double agents: assessing the role of electronic product recommendation systems. MIT Sloan Manag. Rev. 47(3), 8–12 (2006)

Cited by 35 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. An Ensemble Model for Combining Deep Matrix Factorization and Image-Based Recommendation Systems;SN Computer Science;2024-06-26

2. Image Classification For Visual Recommendation Using Deep Learning;Proceedings of the 7th International Conference on Networking, Intelligent Systems and Security;2024-04-18

3. A ResNet-101 Based Recommendation System for E-Commerce;2024 11th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO);2024-03-14

4. FashionAI: Image-Based Clothing Detection and Shopping Recommendation;2024 3rd International Conference for Innovation in Technology (INOCON);2024-03-01

5. Image Based Clothing Style Recommendation System;2024 IEEE International Conference for Women in Innovation, Technology & Entrepreneurship (ICWITE);2024-02-16