Nov 29, 2023 · In this paper, we report the design and deployment of the proposed Multi-modal Item Embedding Model (MIEM) to address these limitations.
Oct 22, 2024 · Since its deployment in March 2023, it has achieved a remarkable 9.90% increase in terms of clicks per user and a 4.23% boost in terms of orders ...
Feb 22, 2024 · Transformer-Empowered Multi-Modal Item Embedding for Enhanced Image Search in E-commerce ... A Model for Estimating the Economic Costs of ...
Transformer-Empowered Multi-Modal Item Embedding for Enhanced Image Search in E-commerce. Proceedings of the AAAI Conference on Artificial Intelligence, 38 ...
Transformer-empowered Multi-modal Item Embedding for Enhanced Image Search in E-Commerce ... Since its deployment in March 2023, it has achieved a remarkable 9.
Feb 28, 2024 · 1. NTU + Shopee: Transformer-empowered Multi-modal Item Embedding for Enhanced Image Search in E-Commerce · 2. NTU + ENN Group: HiFi-Gas: ...
2024. Transformer-Empowered Multi-Modal Item Embedding for Enhanced Image Search in E-commerce. Proceedings of the AAAI Conference on Artificial Intelligence.
Yu, "Transformer-empowered Multi-modal Item Embedding for Enhanced Image Search in E-Commerce," in Proceedings of the 36th Annual Conference on Innovative ...
[43] highlighted BERT's ability to handle long sentences without fixed input size constraints, making it an ideal choice for extensive text feature extraction.
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It has significantly improved efficiency, increasing ... Project Title: Transformer-empowered Multi-modal Item Embedding for Enhanced Image Search in E-Commerce.