Ryadh Dahimene
ABSTRACT
Microblogging systems have become a major trend over the Web. After only 7 years of existence, Twitter for instance claims more than 500 million users with more than 350 billion delivered update each day. As a consequence the user must today manage possibly extremely large feeds, resulting in poor data readability and loss of valuable information and the system must face a huge network load. In this demonstration, we present and illustrate the features of MicroFilter (MF in the the following), an inverted list-based filtering engine that nicely extends existing centralized microblogging systems by adding a real-time filtering feature. The demonstration proposed illustrates how the user experience is improved, the impact on the traffic for the overall system, and how the characteristics of microblogs drove the design of the indexing structures.
- R. Dahimene, C. du Mouza, and M. Scholl. Efficient filtering in micro-blogging systems: We won't get flooded again. In SSDBM, pages 168--176, 2012. Google Scholar
Digital Library
- F. Kivran-Swaine, P. Govindan, and M. Naaman. The Impact of Network Structure on Breaking Ties in Online Social Networks: Unfollowing on Twitter. In CHI, pages 1101--1104, 2011. Google ScholarDigital Library
- H. Kwak, H. Chun, and S. B. Moon. Fragile Online Relationship: A First Look at Unfollow Dynamics in Twitter. In CHI, pages 1091--1100, 2011. Google ScholarDigital Library
- H. Kwak, C. Lee, H. Park, and S. B. Moon. What Is Twitter, a Social Network or a News Media? In WWW, pages 591--600, 2010. Google ScholarDigital Library
Index Terms
- MicroFilter: real time filtering of microblogging content
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