Ranking domain objects by wisdom of web pages

Authors:
Honghan Wu;Ago Luberg;Tanel Tammet
Affiliations:
Nanjing University of Information Science & Technology, China;ELIKO Technology Competence Centre, Tallinn, Estonia;Tallinn University of Technology, Estonia
Venue:
Proceedings of the 2nd International Conference on Web Intelligence, Mining and Semantics
Year:
2012

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Abstract

Collaborative ranking is a way to utilize the wisdom of crowd to recommend objects. It has shown to be very popular and effective in many domains. However, the wisdom of crowd is not easy to be obtained. It requires an active community and takes time to form the true wisdom. In this paper, we introduce an approach to exploit the wisdom of web pages for ranking domain objects as a substitute when the wisdom of crowd is not ready yet or not available at all. We evaluate our work on three real world datasets. The results show that web-page collaborative ranking is a promising way to imitate the wisdom of crowd.