摘要： Internet的快速增长导致了对个性化服务需求急剧增加。该文通过分析个性化挖掘的特点，提出了基于时效性的Web页面个性化推荐模型。该模型的挖掘算法在FP-Tree的存储结构上加入时效价值系数，并进行增量挖掘。通过实验证明，该模型挖掘出来的信息，能够更好地符合用户的真实需求。
关键词:
Web挖掘,
个性化推荐模型,
时效性
Abstract: The idea of time-validity is proposed based on the analysis of characteristics of Web pageviews association rules for personalized recommendation. A model of mining association rules for personalized recommendation. A new interest-measure called time-validity for rules is based on this model, which allows for increasable mining and supports more user-interaction in the optimized rule-mining process.
Key words:
Web mining,
Personalization recommendation model,
Time-validity
中图分类号:
沈云斐;沈国强;蒋丽华;覃 征. 基于时效性的Web页面个性化推荐模型的研究[J]. 计算机工程, 2006, 32(13): 80-81,9.
SHEN Yunfei;SHEN Guoqiang;JIANG Lihua;QIN Zhen. Web Pageviews for Personalized Recommendation Model Based on Time-validity
[J]. Computer Engineering, 2006, 32(13): 80-81,9.