Recommendation system using information needs radar model

C. W. Shih, M. Y. Chen, H. C. Chu, Yuh-Min Chen

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

1 Citation (Scopus)


Recommendation systems attempt to recommend items that attract the attention of users, and information needs are the most important factors in recommendation systems, due to the means by which they influence information seeking behavior. To address the importance of information needs, this study proposes information needs radar model to quantify the degree of desirability expressed for items. Based on the information needs radar model, we developed a recommendation system to construct a net that filters items according to their degree of desirability and recommend items that meet the needs of users. Experimental results indicated that proposed recommendation system has good performance with regard to objective indicators and consistent performance regardless of data size, and could improve the applicability of the model.

Original languageEnglish
Title of host publicationProceedings of the World Congress on Engineering 2011, WCE 2011
Number of pages4
Publication statusPublished - 2011 Nov 14
EventWorld Congress on Engineering 2011, WCE 2011 - London, United Kingdom
Duration: 2011 Jul 62011 Jul 8

Publication series

NameProceedings of the World Congress on Engineering 2011, WCE 2011


OtherWorld Congress on Engineering 2011, WCE 2011
Country/TerritoryUnited Kingdom

All Science Journal Classification (ASJC) codes

  • General Computer Science
  • General Engineering
  • Applied Mathematics


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