Research on Parameter Optimization in Collaborative Filtering Algorithm
Open Access
- 1 January 2018
- journal article
- Published by Scientific Research Publishing, Inc. in Communications and Network
- Vol. 10 (03), 105-116
- https://doi.org/10.4236/cn.2018.103009
Abstract
Collaborative filtering algorithm is the most widely used and recommended algorithm in major e-commerce recommendation systems nowadays. Concerning the problems such as poor adaptability and cold start of traditional collaborative filtering algorithms, this paper is going to come up with improvements and construct a hybrid collaborative filtering algorithm model which will possess excellent scalability. Meanwhile, this paper will also optimize the process based on the parameter selection of genetic algorithm and demonstrate its pseudocode reference so as to provide new ideas and methods for the study of parameter combination optimization in hybrid collaborative filtering algorithm.Keywords
This publication has 1 reference indexed in Scilit:
- Gesture Recognition Based on BP Neural Network Improved by Chaotic Genetic AlgorithmInternational Journal of Automation and Computing, 2018