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  1. Proceedings of the 3rd ACM SIGMM international workshop on Social media (WSM '11)
  2. Large-scale social media mining in facebook
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Mining social media: issues and challenges
Using social media to identify events
Large-scale social media mining in facebook
Multimodal location estimation on Flickr videos
Photo stream alignment for collaborative photo collection and sharing in social media
Sentiment analysis of social media content using N-Gram graphs
IM2MAP: deriving maps from georeferenced community contributed photo collections
Near2me: an authentic and personalized social media-based recommender for travel destinations
Laplacian adaptive context-based SVM for video concept detection
Tag suggestion and localization for web videos by bipartite graph matching
Why do we converse on social media?: an analysis of intrinsic and extrinsic network factors
Chase display of social live streams (SOLISs)

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Large-scale social media mining in facebook

Content Provider ACM Digital Library
Author Yan, Rong
Abstract Facebook has grown into one of the largest websites on the world today with over 700 million users. Many unique technological challenges and related applications have arisen at this scale. In this talk, I will overview a number of Facebook algorithms and applications which mine this massive social data streams for different purposes, such as identifying popular trend in Facebook, detect user happiness, discover latent topics of Facebook users, etc. Moreover, I will also describe other related Facebook applications in the domain of rich media, such as face detection / recognition.
Starting Page 21
Ending Page 22
Page Count 2
File Format PDF
ISBN 9781450309899
DOI 10.1145/2072609.2072617
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2011-11-30
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Social data mining Social media Trend identification Facebook applications
Content Type Text
Resource Type Article
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