Proceedings of the 2018 3rd International Conference on Automation, Mechanical Control and Computational Engineering (AMCCE 2018)

A Brief Analysis of Collaborative Filtering Algorithm Based on Scoring Statistical Prediction

Authors
Hongying Liu
Corresponding Author
Hongying Liu
Available Online May 2018.
DOI
10.2991/amcce-18.2018.120How to use a DOI?
Keywords
scoring statistics, prediction, collaborative filtering algorithm
Abstract

With the development of the Internet and WEB technology over past years, a scoring statistical prediction model can be proposed given the item similarity and the recommended precision, so as to define users and item information. Based on this, a linear regression forecasting model is built and a corresponding algorithm is devised. In view of this, the paper discusses and analyses the collaborative filtering algorithm based on scoring statistical prediction.

Copyright
© 2018, 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/).

Download article (PDF)

Volume Title
Proceedings of the 2018 3rd International Conference on Automation, Mechanical Control and Computational Engineering (AMCCE 2018)
Series
Advances in Engineering Research
Publication Date
May 2018
ISBN
10.2991/amcce-18.2018.120
ISSN
2352-5401
DOI
10.2991/amcce-18.2018.120How to use a DOI?
Copyright
© 2018, 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/).

Cite this article

TY  - CONF
AU  - Hongying Liu
PY  - 2018/05
DA  - 2018/05
TI  - A Brief Analysis of Collaborative Filtering Algorithm Based on Scoring Statistical Prediction
BT  - Proceedings of the 2018 3rd International Conference on Automation, Mechanical Control and Computational Engineering (AMCCE 2018)
PB  - Atlantis Press
SP  - 696
EP  - 700
SN  - 2352-5401
UR  - https://doi.org/10.2991/amcce-18.2018.120
DO  - 10.2991/amcce-18.2018.120
ID  - Liu2018/05
ER  -