DocumentCode :
2200851
Title :
A recommender system for wiki pages: Usage based rating approach
Author :
Agasta Adline, A.L. ; Mahalakshmi, G.S.
Author_Institution :
Dept. of IT, Easwari Eng. Coll., Chennai, India
fYear :
2012
fDate :
19-21 April 2012
Firstpage :
553
Lastpage :
558
Abstract :
Online educational resources are in abundance, which urged the need for recommender systems to assist learners in identifying learning resources which suits their need. Wikipedia plays a major role in online delivery of educational resources. The open to access and edit feature of wiki allows anonymous users to include resources which necessitate the rating of wiki resources. Recommender systems suggests users with items that suits them the best. In this paper we propose a recommender system for wiki pages, which uses certain measures and metrics to rate the quality of wiki resources. The proposed model categorizes the wiki educational resources based on the purpose of usage.
Keywords :
Web sites; collaborative filtering; courseware; recommender systems; text editing; Wiki pages; Wiki resource quality; Wikipedia; editing; information access; learning resource identification; online educational resource delivery; recommender system; usage based rating approach; Electronic publishing; Encyclopedias; Internet; Measurement; Organizations; Recommender systems; Recommender system; rating; wik ipages;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Recent Trends In Information Technology (ICRTIT), 2012 International Conference on
Conference_Location :
Chennai, Tamil Nadu
Print_ISBN :
978-1-4673-1599-9
Type :
conf
DOI :
10.1109/ICRTIT.2012.6206831
Filename :
6206831
Link To Document :
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