Content-Based Similarity of Twitter Users

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• 作者：Stefano Mizzaro (19)
  Marco Pavan (19)
  Ivan Scagnetto (19)
  
  19. Dept. of Mathematics and Computer Science ; University of Udine ; via delle Scienze ; 206 ; Udine ; Italy
  
• 刊名：Lecture Notes in Computer Science
• 出版年：2015
• 出版时间：2015
• 年：2015
• 卷：9022
• 期：1
• 页码：507-512
• 全文大小：178 KB
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• 作者单位：Advances in Information Retrieval
• 丛书名：978-3-319-16353-6
• 刊物类别：Computer Science
• 刊物主题：Artificial Intelligence and Robotics
  Computer Communication Networks
  Software Engineering
  Data Encryption
  Database Management
  Computation by Abstract Devices
  Algorithm Analysis and Problem Complexity
  
• 出版者：Springer Berlin / Heidelberg
• ISSN：1611-3349

文摘

We propose a method for computing user similarity based on a network representing the semantic relationships between the words occurring in the same tweet and the related topics. We use such specially crafted network to define several user profiles to be compared with cosine similarity. We also describe an initial experimental activity to study the effectiveness on a limited dataset.