Analysis of document recommendation based on Hierarchical analysis method and BP neural network

DOI

10.2991/icmmita-15.2015.9How to use a DOI?

Keywords

Document recommendation; Correlation analysis; Analytic hierarchy process; BP neural network; Document scores.

Abstract

At present, with the development of the information technologies and the Internet, evaluation and ,the recommendation of all kinds of information is increasingly concerned. We can get User’ evaluation on the books for 5 points. Considering the effect of different factors on the books’ score then the label, social friends, books browsing amount of three groups of data were analyzed 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 page views a positive correlation. Impact of users to book score were history views > the number of users’ good friends > tag number of books. This paper tries to analyze the effects on document remarks by users by using the data. Attached data are the information of users’ behavior at a popular on-line bookstore, including remarks on books, tags of books, and the users’ social networks.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Rongyu Zhang
PY  - 2015/11
DA  - 2015/11
TI  - Analysis of document recommendation based on Hierarchical analysis method and BP neural network
BT  - Proceedings of the 2015 3rd International Conference on Machinery, Materials and Information Technology Applications
PB  - Atlantis Press
SP  - 36
EP  - 39
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmmita-15.2015.9
DO  - 10.2991/icmmita-15.2015.9
ID  - Zhang2015/11
ER  -