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The Comparison of Personalization Recommendation for E-Commerce

✍ Scribed by Luo Ya


Book ID
113847267
Publisher
Elsevier
Year
2012
Tongue
English
Weight
121 KB
Volume
25
Category
Article
ISSN
1875-3892

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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