A Combination Approach to Web User Profiling

J. Tang; Limin Yao; D. Zhang; J. Zhang

DOI:10.1145/1870096.1870098

Corpus ID: 3775711

A Combination Approach to Web User Profiling

@article{Tang2010ACA,
  title={A Combination Approach to Web User Profiling},
  author={J. Tang and Limin Yao and D. Zhang and J. Zhang},
  journal={ACM Trans. Knowl. Discov. Data},
  year={2010},
  volume={5},
  pages={2:1-2:44}
}

J. Tang, Limin Yao, +1 author J. Zhang

Published 2010

Computer Science

ACM Trans. Knowl. Discov. Data

In this article, we study the problem of Web user profiling, which is aimed at finding, extracting, and fusing the “semantic”-based user profile from the Web. Previously, Web user profiling was often undertaken by creating a list of keywords for the user, which is (sometimes even highly) insufficient for main applications. This article formalizes the profiling problem as several subtasks: profile extraction, profile integration, and user interest discovery. We propose a combination approach to… CONTINUE READING

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