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http://hdl.handle.net/10397/109214
Title: | Reproducibility companion paper : recommendation of mix-and-match clothing by modeling indirect personal compatibility | Authors: | Liao, S Ding, Y Mok, PY Huang, Q Cao, J |
Issue Date: | 2024 | Source: | In ICMR '24: Proceedings of the 14th Annual: ACM International Conference on Multimedia Retrieval, p. 1224-1227. New York, NY: The Association for Computing Machinery, 2024 | Abstract: | This reproducibility companion paper accompanies our original study, "Recommendation of Mix-and-Match Clothing by Modeling Indirect Personal Compatibility," providing a detailed framework for replication and verification of our research results. The primary objective of this document is to enhance the transparency and reproducibility of our findings. We present a comprehensive account of the datasets, software tools, and experiments in the original study. This companion paper serves as a valuable resource for researchers and practitioners who aim to validate, learn from, or build upon our work. | Keywords: | Compatibility Complementary Recommendation Fashion Recommendation Multi-modal Personalization |
Publisher: | Association for Computing Machinery | ISBN: | 979-8-4007-0619-6 | DOI: | 10.1145/3652583.3658371 | Description: | ICMR '24: International Conference on Multimedia Retrieval, Phuket, Thailand, June 10-14, 2024 | Rights: | © 2024 Copyright held by the owner/author(s). This work is licensed under a Creative Commons Attribution International 4.0 License (https://creativecommons.org/licenses/by/4.0/). The following publication Liao, S., Ding, Y., Mok, P. Y., Huang, Q., & Cao, J. (2024). Reproducibility Companion Paper: Recommendation of Mix-and-Match Clothing by Modeling Indirect Personal Compatibility Proceedings of the 2024 International Conference on Multimedia Retrieval, Phuket, Thailand is available at https://doi.org/10.1145/3652583.3658371. |
Appears in Collections: | Conference Paper |
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3652583.3658371.pdf | 1.55 MB | Adobe PDF | View/Open |
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