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Image-Based Fashion Recommendation Model by Nischal Maharjan is a document available to read on EtoBox.

The paper presents a novel attribute-aware model for fashion item recommendation that effectively incorporates image features using a calibrated ResNet50 component. Extensive experiments demonstrate that this model significantly outperforms existing state-of-the-art image-based recommendation systems on two real-world datasets. The proposed approach highlights the importance of integrating visual information into recommendation tasks to enhance item representation learning.

Author
Nischal Maharjan
Language
EN