Papers with E-Commerce
Multi-Modal Generative Adversarial Network for Short Product Title Generation in Mobile E-Commerce (N19-2)
Copied to clipboard
| Challenge: | Existing methods for short product title generation only consider textual information from long titles . MM-GAN incorporates image information and attribute tags from product, as well as textual info from original long titles. |
| Approach: | They propose a multi-modal generative adversarial network for short product title generation in E-commerce . they incorporate image information and attribute tags from product, as well as textual information from original long titles . |
| Outcome: | The proposed model outperforms state-of-the-art methods on a large-scale E-commerce dataset. |
A Usage-centric Take on Intent Understanding in E-Commerce (2024.emnlp-main)
Copied to clipboard
| Challenge: | Identifying and understanding user intents is a crucial task for E-Commerce. |
| Approach: | They propose to use intent understanding as a natural language reasoning task independent of product ontologies to identify and understand user intents. |
| Outcome: | The proposed framework can't be used to strongly align user intents with products with desirable properties and recommend useful products across diverse categories. |