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Learning Similarity Metrics for Event Identification in Social Media

Learning Similarity Metrics for Event Identification in Social Media

This video was recorded at Third ACM International Conference on Web Search and Data Mining - WSDM 2010. Social media sites (e.g., Flickr, YouTube, and Facebook) are a popular distribution outlet for users looking to share their experiences and interests on the Web. These sites host substantial amounts of user-contributed materials (e.g., photographs, videos, and textual content) for a wide variety of real-world events of different type and scale. By automatically identifying these events and their associated user-contributed social media documents, which is the focus of this paper, we can enable event browsing and search in state-of-the-art search engines. To address this problem, we exploit the rich "context" associated with social media con- tent, including user-provided annotations... Show More

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