一种基于模糊遗传的Blog社会网的用户兴趣建模方法
Blog Social Networks’ User-Profiles Modeling Method Based on Fuzzy Genetic Algorithms
本文从Blog社会网络中单个用户的角度出发，提出了一个针对于当前Blog用户的兴趣建模方法。根据用户web信息的特点，本文的方法将遗传算法与模糊理论相结合，无需人工干预就能很好的获取到用户的兴趣模型。实验结果表明，该方法与我们的个性化推荐系统相结合很好地解决了用户兴趣建模不准确，动态跟踪、学习和表达困难的问题。
his paper presents a new user profiles modeling method from the perspective of the single Blog user of the Blog social networks. Based on the web information characteristic, our method without outside intervening could get the users- profiles accurately, which combines the genetic algorithms and fuzzy theory. The experimental results show that this method used in the personalization recommendation system solvers the inaccuracy of user modeling and the difficulty questions of dynamic tracing，learning and expression.
陆佃龙
计算技术、计算机技术
Blog 社会网模糊遗传算法用户兴趣建模
Blogsocial networksfuzzy genetic algorithmsuser profile modeling
陆佃龙.一种基于模糊遗传的Blog社会网的用户兴趣建模方法[EB/OL].(2008-01-17)[2025-08-02].http://www.paper.edu.cn/releasepaper/content/200801-513.点此复制
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