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Metadata Connector: Exploiting Hashtag and Tag for Cross-OSN Event Search | |
Gao, Yuqi1; Sang, Jitao2,3; Fu, Chengpeng2,3; Wang, Zhengjia2,3; Ren, Tongwei1; Xu, Changsheng4![]() | |
发表期刊 | IEEE TRANSACTIONS ON MULTIMEDIA
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ISSN | 1520-9210 |
2021 | |
卷号 | 23页码:510-523 |
通讯作者 | Sang, Jitao(jtsang@bjtu.edu.cn) |
摘要 | Social media has revolutionized the way people understand and keep track of real-world events. Various related multimedia information in different modalities such as texts, images and videos is updated on social media and reflects the events. These quantities of information distributes on different Online Social Networks (OSNs), which provides rich, wide coverage, comprehensive information about the trending events. Faced with such large amounts of data, searching has become a handy tool for event understanding and tracking on social media. However, existing single-OSN search mainly involves with single modality on single platform. Moreover, most OSNs usually focus on biased perspective of events, which significantly limits the coverage and diversity of single-OSN based event search. In this paper, we introduce a novel cross-OSN framework to help integrate these cross-OSN information regarding the same event and provide an immersive experience for information retrieval. Since social media information is widely distributed in different OSNs where semantic gap exists among these heterogeneous spaces, we propose to utilize hashtag and tag, which are user-generated metadata for organizing and labeling in many OSNs, as bridges to connect between different OSNs. In our four-stage solution framework, various methods are adopted for hashtag and tag filtering, search results representation, clustering and demonstration. Given an event query, in the first stage we generate related items with corresponding tags and hashtags from OSNs and filter the hashtags and tags we need. Then, topical representation is generated for hashtag and tag. The third stage leverages the derived representation for cross-OSN hashtag and tag clustering. Finally, demonstration for each query is produced and the results are organized hierarchically. Experiments on a dataset containing hundreds of search queries and related items demonstrate the effectiveness of our cross-OSN event search framework. |
关键词 | Twitter Tagging Videos YouTube Flickr Games Social media search cross-OSN application social multimedia |
DOI | 10.1109/TMM.2020.2982047 |
关键词[WOS] | ENGINE |
收录类别 | SCI |
语种 | 英语 |
资助项目 | National Key R&D Program of China[2018AAA0100604] ; National Natural Science Foundation of China[61832002] ; National Natural Science Foundation of China[61632004] ; National Natural Science Foundation of China[61672518] ; National Natural Science Foundation of China[61602115] ; Natural Science Foundation of Jiangsu Province[BK20191248] ; Science, Technology and Innovation Commission of Shenzhen Municipality[JCYJ20180307151516166] |
项目资助者 | National Key R&D Program of China ; National Natural Science Foundation of China ; Natural Science Foundation of Jiangsu Province ; Science, Technology and Innovation Commission of Shenzhen Municipality |
WOS研究方向 | Computer Science ; Telecommunications |
WOS类目 | Computer Science, Information Systems ; Computer Science, Software Engineering ; Telecommunications |
WOS记录号 | WOS:000601877600040 |
出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/42799 |
专题 | 多模态人工智能系统全国重点实验室_多媒体计算 |
通讯作者 | Sang, Jitao |
作者单位 | 1.Nanjing Univ, State Key Lab Novel Software Technol, Nanjing 210093, Peoples R China 2.Beijing Jiaotong Univ, Sch Comp & Informat Technol, Beijing 100044, Peoples R China 3.Beijing Jiaotong Univ, Beijing Key Lab Traff Data Anal & Min, Beijing 100044, Peoples R China 4.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China |
推荐引用方式 GB/T 7714 | Gao, Yuqi,Sang, Jitao,Fu, Chengpeng,et al. Metadata Connector: Exploiting Hashtag and Tag for Cross-OSN Event Search[J]. IEEE TRANSACTIONS ON MULTIMEDIA,2021,23:510-523. |
APA | Gao, Yuqi,Sang, Jitao,Fu, Chengpeng,Wang, Zhengjia,Ren, Tongwei,&Xu, Changsheng.(2021).Metadata Connector: Exploiting Hashtag and Tag for Cross-OSN Event Search.IEEE TRANSACTIONS ON MULTIMEDIA,23,510-523. |
MLA | Gao, Yuqi,et al."Metadata Connector: Exploiting Hashtag and Tag for Cross-OSN Event Search".IEEE TRANSACTIONS ON MULTIMEDIA 23(2021):510-523. |
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