Title: Research about recommending books based on hierarchical analysis method and BP neural network

Authors: Yong-Li Zhang; Yan-Wei Zhu; Jia-Hui Fu

Addresses: Qinggong College, North China University of Science and Technology, Tang Shan, 063000, China ' Department of Mathematics and Information Science, Tang Shan Normal University, Tang Shan, 063000, China ' Qinggong College, North China University of Science and Technology, Tang Shan, 063000, China

Abstract: At present, with the development of the information technologies and the internet, evaluation and, the recommendation of all kinds of information are increasingly concerned. According to the user behaviour information of a famous online bookstore, analysis of the factors affecting user ratings to establish user on the books of the scoring system model, and then the user recommended books. The original data is filtered first. The label, social friends, books browsing amount of three groups of data were analysed by bivariate correlation analysis respectively, so that we can get the number of users on the books, scores and label users' good friends, the history of the book number of pageviews a positive correlation. As to the second question, this paper established the AHP model and BP neural network model to predict the score. So we can obtain more accurate results by comparing the two kinds of model.

Keywords: books scores; correlation analysis; analytical hierarchy process; AHP; BP neural networks; book recommendations; user behaviour; online bookstores; book recommendation systems; recommender systems.

DOI: 10.1504/IJAMC.2016.080976

International Journal of Advanced Media and Communication, 2016 Vol.6 No.2/3/4, pp.187 - 197

Received: 31 Dec 2015
Accepted: 18 May 2016
Published online: 13 Dec 2016 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article