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Because of the availability of a wide variety of choices among courses, researchers can be in an uncomfortable situation making a decision about which courses would be more appropriate for them. In such kinds of conditions, a recommender system can be helpful in decision making to choose some suitable courses according to interest and requirements. This article proposes a framework which is novel and convenient for any learning system by integrating various techniques together within this framework.<\/p>","DOI":"10.4018\/ijwltt.2018070104","type":"journal-article","created":{"date-parts":[[2018,5,3]],"date-time":"2018-05-03T16:29:25Z","timestamp":1525364965000},"page":"51-68","source":"Crossref","is-referenced-by-count":4,"title":["A Framework for Recommender System to Support Personalization in an E-Learning System"],"prefix":"10.4018","volume":"13","author":[{"given":"Zameer","family":"Gulzar","sequence":"first","affiliation":[{"name":"Department of Computer Applications, B.S. 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