Hybrid filtering model based on particle swarm optimization and genetic algorithm

International Journal of Physical Sciences

ZHU Zhenfang¹ 

关键词: Information filtering;    content-based filtering;    collaborative filtering;    particle swarm optimization;    genetic optimization.;   

DOI  :  10.5897/IJPS11.485

学科分类：物理（综合）

来源: Academic Journals

【 摘 要 】

With the rapid growth of network information, information filtering technology is more widely used. This paper discusses the content-based filtering and collaborative filtering, and proposes a hybrid filtering model with these two methods in order to overcome their own shortages. In this hybrid filtering method, genetic algorithm is used to generate initial profiles on server-side, and particle swarm optimization is used to update the profiles with the information from users. This approach is feasible from the theoretical analysis and the experiment in Chinese data set.

【 授权许可】

CC BY