Evolution of Visual Shopping in E-Commerce: Integrating Object Detection and Image Similarity
This survey explores recent advancements in visual search technologies and their applications in e-commerce, focusing on the enhancement of product discovery through complementary product recommendations. By implementing object localization and image similarity, these systems offer scalable and efficient solutions for identifying related products within images. We review the evolution of these technologies, highlighting their impact on user experience and product discovery efficiency. The paper also addresses current challenges and anticipates future trends in the integration of visual search systems within dynamic e-commerce environments.
Authors
- Mustafa Keskin
- Enis Teper
- Sinan Keçeci
- Emre Rençberoğlu
- Alp A. Yalman
Publication Details
- Published
- 2025-05-23
- DOI
- https://doi.org/10.1109/ichora65333.2025.11017086
- Citations
- 2
- Primary Topic
- Image Retrieval and Classification Techniques
- Type
- article
- Field-Weighted Citation Impact
- 2.55