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中文摘要：
面向网络社区用户行为数据挖掘的精准营销模式是21世纪企业面临的新课题。针对传统推荐方法存在的用户评分数据极端稀疏、系统规模性与可扩展性差等问题，提出一种云环境下基于社区用户兴趣图谱的推荐方法，构建了面向社区用户行为数据挖掘的精准个性化营销模式，有效缓解网络社区营销推荐系统规模性与可扩展性差、用户评分数据极端稀疏等问题，从而为网络社区运营商和社区用户创造双向价值。
英文摘要：
The precisive marketing model based on the user behavior data mining of network community is a new task for enterprises in the 21 st century. In view of the existing problems of traditional recommendation method including sparse data and poor system scalability, we proposed a new recommending approach for network community marketing based on user interest map in cloud environment, effectively al- leviating the poor scalability of recommendation system and extremely sparse data problems of the network community marketing, thus cre- ating mutual value for both network community operators and community users.
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A distributed collaborative filtering recommendation mechanism for mobile commerce based on cloud co
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