MicroFilter: Real Time Filtering of Microblogging Content

Provided by: Association for Computing Machinery
Topic: Security
Format: PDF
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 paper, the authors present and illustrate the features of MicroFilter (MF in the following); an inverted list-based filtering engine that nicely extends existing centralized microblogging systems by adding a real-time filtering feature.

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