收稿日期: 2012-11-12
修回日期: 2013-03-22
网络出版日期: 2013-05-05
Research on Accelerating Genetic Algorithm of Micro-content Recommendation Path Optimization
Received date: 2012-11-12
Revised date: 2013-03-22
Online published: 2013-05-05
谭婷婷 . 微内容推荐路径优化的加速遗传算法研究[J]. 图书情报工作, 2013 , 57(09) : 119 -123,134 . DOI: 10.7536/j.issn.0252-3116.2013.09.020
The rapid growth of micro content created by users leads to the characteristics of micro content to decentration and fragmentation, which enable users to obtain information more difficult. According to the feature that the micro content recommendation is effected by user subjective preference and perceived behavior, this paper effectively fuses the influencing factors of information nodes similarity from three perspectives of user behavior, content preference and social network relations with the accelerating genetic algorithm. Finally, this paper develops a new model algorithm of micro-content recommendation path optimization based on it, and proves its feasibility and effectiveness.
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