| 基于Web日志的混合挖掘模型研究 |
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| 引用本文： | 陈志敏,沈洁. 基于Web日志的混合挖掘模型研究[J]. 扬州大学学报(自然科学版), 2007, 10(3): 53-56 |
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| 作者姓名： | 陈志敏 沈洁 |
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| 作者单位： | 扬州大学,信息工程学院,江苏,扬州,225009 |
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| 摘 要： | 在电子商务环境下,提出一种基于Web日志抽取用户兴趣模式的混合挖掘模型MMA(mixed mining algorithm),该模型克服了单纯挖掘浏览模式或关联规则的不足,综合考虑用户的浏览和购买行为,能够有效捕获用户兴趣,获得潜在的商机,并为用户提供个性化的服务.
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| 关 键 词： | 电子商务 关联规则 日志挖掘 个性化 |
| 文章编号： | 1007-824X（2007）03-0053-04 |
| 修稿时间： | 2006-10-19 |
Research of mixed mining algorithm based on Web logs |
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| CHEN Zhi-min,SHEN Jie. Research of mixed mining algorithm based on Web logs[J]. Journal of Yangzhou University(Natural Science Edition), 2007, 10(3): 53-56 |
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| Authors: | CHEN Zhi-min SHEN Jie |
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| Affiliation: | Coll of Inf Engin, Yangzhou Univ, Yangzhou 225009, China |
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| Abstract: | Under the environment of e-commerce,this paper puts forward a model named MMA(mixed mining algorithm) in order to extract customer's interest according to Web logs.Synthetically considering the browse and purchase behavior,this model has overcome the deficiency of access mining or association rule mining simply.Therefore it can effectively capture the customer's interest,obtain the potential business opportunity and offer individualized services to the user. |
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| Keywords: | e-commerce association rule logs mining personalization |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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