Increasing the authoritativeness of web recommendations using PageRank-based approaches

Wan-Shiou Yang, Yuan Shuenn Jan

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

Purpose - Web content has been widely used for recommending personal webpages. Despite its popularity, the content-based approach regards a webpage simply as a piece of text, thereby often resulting in less authoritative recommendations of webpages. This paper aims to propose novel approaches that utilise other sources of information pertaining to webpages to facilitate the automatic construction of an authoritative web recommender system. Design/methodology/approach - In this research, four approaches that exploit hyperlink structure, web content and web-usage logs for making recommendations are proposed. The proposed approaches have been implemented as a prototype system, called the authoritative web recommender (AWR) system. An evaluation using the web-usage logs and the corresponding pages of a university web site was performed. Findings - The results from the evaluations using empirical data demonstrate that the four proposed approaches outperform the traditional content-only approach. Originality/value - This paper describes a novel way to combine information retrieval, usage mining and hyperlink structure analysis techniques to find relevant and authoritative webpages for recommendation.

Original languageEnglish
Pages (from-to)362-375
Number of pages14
JournalOnline Information Review
Volume33
Issue number2
DOIs
Publication statusPublished - 2009 Apr 17

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All Science Journal Classification (ASJC) codes

  • Information Systems
  • Computer Science Applications
  • Library and Information Sciences

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