Recommender systems in e-learning environments: a survey of the state-of-the-art and possible extensions

Artificial Intelligence Review

Volumn 44, Issue 4, 2015, Pages 571-604

  Klašnja Milićević, Aleksandra ^a   Ivanović, Mirjana ^a   Nanopoulos, Alexandros ^b  

^a UNIVERSITY OF NOVI SAD   (Serbia)

^b CATHOLIC UNIVERSITY OF EICHSTÄTT INGOLSTADT   (Germany)

Author keywords

Collaborative tagging; e Learning; Personalization; Recommender systems

Indexed keywords

COMPUTER AIDED INSTRUCTION; E-LEARNING; RECOMMENDER SYSTEMS;

COLLABORATIVE TAGGING; CURRENT GENERATION; E-LEARNING ENVIRONMENT; IMPORTANT FEATURES; PERSONALIZATIONS; RECOMMENDATION TECHNIQUES; STATE OF THE ART; TAG-BASED;

LEARNING SYSTEMS;

EID: 84975095854     PISSN: 02692821     EISSN: 15737462     Source Type: Journal    
DOI: 10.1007/s10462-015-9440-z     Document Type: Article

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