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C. Siefkes, F. Assis, S. Chhabra and W. S. Yerazunis, ?“Combining Winnow and Orthogonal Sparse Bigrams for Incremental Spam Filtering,” Proceedings of the 8th European Conference on Principles and Practice of Knowledge Discovery in Databases, Springer-Verlag, New York, Inc., New York, 2004, pp. 410-421. http://portal.acm.org/citation.cfm?id=1053072.1053110

has been cited by the following article:

• TITLE: Recommending Who to Follow on Twitter Based on Tweet Contents and Social Connections

  AUTHORS: Evgenia Tsourougianni, Nicholas Ampazis

  KEYWORDS: Recommender Systems; Social Networks; Personalization

  JOURNAL NAME: Social Networking, Vol.2 No.4, October 30, 2013

  ABSTRACT: In this paper, we examine methods that can provide accurate results in a form of a recommender system within a social networking framework. The social networking site of choice is Twitter, due to its interesting social graph connections and content characteristics. We built a recommender system which recommends potential users to follow by analyzing their tweets using the CRM114 regex engine as a basis for content classification. The evaluation of the recommender system was based on a dataset generated from real Twitter users created in late 2009.