Personalized recommendation by using fused user preference to construct smart library
نویسندگان
چکیده
In online digital library, it makes people be convenient to visit latest books or magazines via digitization. Online library becomes the platform for search and browse magazines. From smart key is how recommend interesting items from personalized preference according visiting history records, comments, discussions. This paper introduces user into recommendation system. Generally, if two users have similar preference, they also like same related topics. First, topics estimated by a Latent Dirichlet Allocation (LDA) model; second, with high score recommended user. Thus, can receive item list which are close he she interested in. The experimental results on university show effectiveness of based system library.
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ژورنال
عنوان ژورنال: Internet technology letters
سال: 2021
ISSN: ['2476-1508']
DOI: https://doi.org/10.1002/itl2.273