Ranking domain objects by wisdom of web pages

Honghan Wu*, Ago Luberg, Tanel Tammet

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish
Title of host publication2nd International Conference on Web Intelligence, Mining and Semantics, WIMS 2012
DOIs
Publication statusPublished - 23 Jul 2012
Event2nd International Conference on Web Intelligence, Mining and Semantics, WIMS 2012 - Craiova, Romania
Duration: 13 Jun 201215 Jun 2012

Conference

Conference2nd International Conference on Web Intelligence, Mining and Semantics, WIMS 2012
CountryRomania
CityCraiova
Period13/06/1215/06/12

Keywords

  • Collaborative ranking
  • Object ranking
  • Web mining

Fingerprint

Dive into the research topics of 'Ranking domain objects by wisdom of web pages'. Together they form a unique fingerprint.

Cite this