First Workshop on Content Understanding and Generation for E-commerce

被引：0

作者：

Negi, Sumit ^{[1
]}

Verma, Manisha ^{[1
]}

Banerjee, Rajdeep H. ^{[1
]}

Pooja, A. ^{[1
]}

Chilton, Lydia ^{[2
]}

Das Gupta, Mithun ^{[3
]}

Namboodiri, Vinay P. ^{[4
]}

Garg, Dinesh ^{[5
]}

机构：

[1] Amazon, Seattle, WA 98109 USA

[2] Columbia Univ, New York, NY USA

[3] Microsoft, Redmond, WA USA

[4] Univ Bath, Bath, Avon, England

[5] IBM Res, Yorktown Hts, NY USA

来源：

PROCEEDINGS OF THE 28TH ACM SIGKDD CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING, KDD 2022 | 2022年

基金：

英国工程与自然科学研究理事会;

关键词：

content understanding; natural language processing; content generation;

D O I：

10.1145/3534678.3542904

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Shopping experience on any e-commerce website is largely driven by the content customers interact with. The large volume of diverse content on e-commerce platforms, and the advances in machine learning, pose unique opportunities for gathering insights through content understanding and applying these insights to generate content for better shopper experience. The purpose of the first edition of this workshop was to bring together researchers from industry and academia on questions surrounding e-commerce content understanding and generation.

引用

页码：4888 / 4889

页数：2

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