Abstract
Given massive heterogeneous online media, how can we summarize events, and discover causal relationships among them, in real time? Indeed we are living in a deluge of information, everyday hundreds of thousands of news articles are published, millions of postings from social media and internet forums are written, and billions of search queries are generated by Internet users. To convey user-interested news events and their big pictures for better understanding, building real-time event recommendation system is indispensable. Our proposed system, Event era, aggregates massive online media from heterogeneous channels, summarizes them into events, discovers meaningful associations by bridging the events, and generates a sequence map of events that provides a big picture of how real life events interact with each other over time. We demonstrate how our system help users understand events and their causal relationships effectively.
Original language | English (US) |
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Title of host publication | Proceedings - 14th IEEE International Conference on Data Mining Workshops, ICDMW 2014 |
Editors | Zhi-Hua Zhou, Wei Wang, Ravi Kumar, Hannu Toivonen, Jian Pei, Joshua Zhexue Huang, Xindong Wu |
Publisher | IEEE Computer Society |
Pages | 1211-1214 |
Number of pages | 4 |
Edition | January |
ISBN (Electronic) | 9781479942749 |
DOIs | |
State | Published - Jan 26 2015 |
Externally published | Yes |
Event | 14th IEEE International Conference on Data Mining Workshops, ICDMW 2014 - Shenzhen, China Duration: Dec 14 2014 → … |
Publication series
Name | IEEE International Conference on Data Mining Workshops, ICDMW |
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Number | January |
Volume | 2015-January |
ISSN (Print) | 2375-9232 |
ISSN (Electronic) | 2375-9259 |
Other
Other | 14th IEEE International Conference on Data Mining Workshops, ICDMW 2014 |
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Country/Territory | China |
City | Shenzhen |
Period | 12/14/14 → … |
Bibliographical note
Publisher Copyright:© 2014 IEEE.
Keywords
- Sequence map
- event detector
- event recommendation
- online media
- summarization