A portrait image recommendation method based on collaborative filtering

Yuwei Hu; Xueyuan Zheng; Ping Zong

doi:10.1117/12.2680229

27 June 2023 A portrait image recommendation method based on collaborative filtering

Yuwei Hu, Xueyuan Zheng, Ping Zong

Proceedings Volume 12705, Fourteenth International Conference on Graphics and Image Processing (ICGIP 2022); 127053E (2023) https://doi.org/10.1117/12.2680229
Event: Fourteenth International Conference on Graphics and Image Processing (ICGIP 2022), 2022, Nanjing, China

Abstract

Portrait recognition is a key task in public security area. Most present portrait recognition methods lay more emphasis on extracting facial features by different algorithms for a variety of scenarios, but focus less on fusion of multiple recognition results. In this paper, we propose a portrait image recommendation method based on collaborative filtering, for which the main task is to improve the hit accuracy by utilizing the portrait recognition results from multiple feature-based models. Considering these models preferences and historical scores on portrait images, user-based collaborative filtering is applied to calculate the similarity between the models. Meanwhile, due to the difference of similarity criteria, an improved comprehensive similarity model based on Auto-Encoder is established to synthesize similarity values calculated by different feature-based models to predict the rating scores of the candidate portrait images. Experiments on portrait images in the wild show that the hit accuracy reaches 85.48% and is 1.11% higher than that best results of the single feature-based models, which illustrates that the proposed method is effective and practical for recommendation of portrait images.

Citation Download Citation

Yuwei Hu, Xueyuan Zheng, and Ping Zong "A portrait image recommendation method based on collaborative filtering", Proc. SPIE 12705, Fourteenth International Conference on Graphics and Image Processing (ICGIP 2022), 127053E (27 June 2023); https://doi.org/10.1117/12.2680229

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KEYWORDS

Data modeling

Image filtering

Tunable filters

Performance modeling

Facial recognition systems

Matrices

Image processing

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