Hashtag Recommendation for Enterprise Applications
Author:
Affiliation:
1. Microsoft Corporation, Mountain View, CA, USA
2. Microsoft Corporation, Hyderabad, India
3. Microsoft Research, Redmond, WA, USA
4. Microsoft Research, Bangalore, India
5. Microsoft Corporation, Redmond, WA, USA
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/2983323.2983365
Reference27 articles.
1. eMailSift: Email Classification Based on Structure and Content
2. Mining tweets for tag recommendation on social media
3. BuzzTrack
4. How to tag it right? semi-automatic support for email management. In CollaborateCom 2013;Dolata M.;ICST,2013
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. CultTags—Tags with Contextual Relevance;Algorithms for Intelligent Systems;2022-09-27
2. Long-tail Hashtag Recommendation for Micro-videos with Graph Convolutional Network;Proceedings of the 28th ACM International Conference on Information and Knowledge Management;2019-11-03
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3