Framework for personalized content recommendations to support informal learning in massively diverse information wikis

HIGHLIGHTS

  • who: HEBA M. ISMAIL et al. from the Department of Computer Science and Software Engineering, UAE University, Al Ain, United Arab Emirates have published the article: Framework for Personalized Content Recommendations to Support Informal Learning in Massively Diverse Information Wikis, in the Journal: (JOURNAL)
  • what: The authors propose an effective personalized content recommendation framework (PCRF) in addition to an evaluation framework that can be used to evaluate the impact of personalized content recommendations on informal learning from wikis. The authors propose a personalized structural recommendation framework for massively diverse information wikis. In Section II, the . . .

     

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