A hybrid item-based recommendation ranking algorithm based on user access patterns

Shao Chieh Hu, Cheng Yi Yang, Chien Tsai Liu

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

Abstract

Nowadays, most websites provide tremendous information organized in complex structures of web pages. Therefore, how to help users quickly find pages they are looking for is an important issue. Although a sitemap can provide navigation information across sections of the website, it is static and can hardly provide dynamic information based on access patterns and browsing trends. In this paper, we proposed a hybrid approach for improving recommendation ranking of the web pages for the next visit. Our raking strategy considers not only the relevance (correlation to the next page calculated by the collaborative filtering algorithm) but also the level of interest (time spent on a page) and accessibility (the distance to the next page). In order to evaluate the proposed recommendation ranking algorithm, we used the web access log (IIS log) of a website, Health 99, operated by the Bureau of Health Promotion, Taiwan. The log data was divided into training and testing sets. The measurements of the relevance, the level of interest and the distance factor were computed from the training set. The experimental results showed that the possibility of the pages in the recommendation ranking lists by our approach that were accepted by users was much higher than that proposed by the original collaborative filtering algorithm, particular in short recommendation list (<5).

Original languageEnglish
Title of host publicationAdvances in Intelligent and Soft Computing
Pages225-233
Number of pages9
Volume163 AISC
DOIs
Publication statusPublished - 2012
Event2012 International Conference on Teaching and Computational Science, ICTCS 2012 - , Macao
Duration: Apr 1 2012Apr 2 2012

Publication series

NameAdvances in Intelligent and Soft Computing
Volume163 AISC
ISSN (Print)18675662

Other

Other2012 International Conference on Teaching and Computational Science, ICTCS 2012
CountryMacao
Period4/1/124/2/12

Keywords

  • Accessibility
  • Collaborative filtering
  • IIS log
  • Ranking
  • User Access Pattern

ASJC Scopus subject areas

  • Computer Science(all)

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  • Cite this

    Hu, S. C., Yang, C. Y., & Liu, C. T. (2012). A hybrid item-based recommendation ranking algorithm based on user access patterns. In Advances in Intelligent and Soft Computing (Vol. 163 AISC, pp. 225-233). (Advances in Intelligent and Soft Computing; Vol. 163 AISC). https://doi.org/10.1007/978-3-642-29458-7_35