.png){kind=icon}
返回
Multi-modal product title compression
.png){kind=icon}
PRE
AI
DOI：10.1016/j.ipm.2019.102123.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Product title generation in e-commerce is a challenging task, which involves modeling multimodal resources, i.e., textual descriptions and visual pictures, and comprising a sequence of words with proper ordering. Although myriad researches have studied this task and prompting progress has been made, there still exists a noticeable gap between generated titles and the requirements on mobile devices, especially considering the limited screen size. Towards filling this gap, we collect a large dataset from real e-commerce platforms to investigate compressing product titles for mobile devices, namely product title compression. We also propose a novel title compression model which takes the advantages of reinforcement learning and multi-modal resources. In doing so, our model is capable of retaining vital information in tides and improving the readability of generated titles. Experimental results demonstrate that our proposed method outperforms the state-of-the-art methods by a large margin on the automatic evaluation.
Keyword:
Multi-modal
Title compression
Attention network
Reinforcement learning
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
I
IF:
6.9
论文数:
5.2K
被引数:
1.4W
机构
引用论文
Study of bi-directional buck-boost converter topologies for application in electrical vehicle motor drives应用于电动汽车电机驱动的双向buck-boost变换器拓扑研究
PREAI
分享收藏ICT for informal workers in Sub-Saharan Africa: Systematic review and analysis撒哈拉以南非洲非正规工人的信通技术: 系统回顾和分析
PREAI
分享收藏Purification and characterization of oxidoreductases-catalyzing carbonyl reduction of the tobacco-specific nitrosamine 4-methylnitrosamino-1-(3-pyridyl)-1-butanone (NNK) in human liver cytosol人肝细胞溶胶中烟草特异性亚硝胺4-甲基亚硝基氨基-1-(3-吡啶基)-1-丁酮 (NNK) 的氧化还原酶催化羰基还原的纯化和表征.png)
Xenobiotica
XenobioticaIF0
PREAI
分享收藏
查看更多内容