Paper Title :Effective Analysis of Outfit Colour Prediction Based on Human Skin Tone Using Content Based Filtering to Improve Accuracy Compared to Collaborative Filtering Algorithms
Author :Shraddha Shailesh Gawade, Madhan Kumar
Article Citation :Shraddha Shailesh Gawade ,Madhan Kumar ,
(2024 ) " Effective Analysis of Outfit Colour Prediction Based on Human Skin Tone Using Content Based Filtering to Improve Accuracy Compared to Collaborative Filtering Algorithms " ,
International Journal of Advance Computational Engineering and Networking (IJACEN) ,
pp. 99-102,
Volume-12,Issue-9
Abstract : The target of this exploration article is to make a framework for outfit colour prediction problems that are
prepared to improve accuracy of outfit colour prediction by incorporating human skin tone analysis, using imaginative
calculations like Content Based Filtering and Collaborative Filtering.the dataset utilized in this paper is the Outfit Color
Prediction Values dataset, containing 41,090 preparation outfit color based on skin tone. The dataset was gotten from
Kaggle, a generally used stage by understudies, AI professionals, and information researchers for different examination
purposes. The dataset is alluded to as the Color Prediction dataset in this review.
Keywords - Accuracy, Content Based Filtering Algorithm, Collaborative Filtering Algorithm, Prediction
Type : Research paper
Published : Volume-12,Issue-9
DOIONLINE NO - IJACEN-IRAJ-DOIONLINE-21254
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Copyright: © Institute of Research and Journals
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Published on 2025-01-08 |
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