𝔖 Bobbio Scriptorium
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A Hybrid Attribute–based Recommender System for E–learning Material Recommendation

✍ Scribed by Salehi, Mojtaba; Kmalabadi, Isa Nakhai

Book ID
119258448
Publisher
Elsevier
Year
2012
Weight
253 KB
Volume
2
Category
Article
ISSN
2212-6678

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## Abstract Information overload on the Web has created enormous challenges to customers selecting products for online purchases and to online businesses attempting to identify customers' preferences efficiently. Various recommender systems employing different data representations and recommendatio