基于关联关系的数字家庭服务资源推荐体系

Recommendation System of Digital Home Service Resources Based on Association Relationships

针对目前在数字家庭服务资源推荐研究中存在的单一性、片面性和弱针对性的问题,通过考虑数字家庭服务资源类型及其用户消费特征,基于Apriori改进算法和时序挖掘技术,提出了在数字家庭中建立结合关联规则和时序关联规则的推荐体系,并对所涉及的关键技术做了详细描述。通过这种方法,用户能够发现其感兴趣的服务资源,这对正处于发展初期的数字家庭推荐系统具有一定的借鉴意义。

The singleness,lopsidedness and weak pertinence do exist in the studies of the digital home service recommendation at present.To address this problem,after considering the digital home service resources and consuming characteristics,a recommendation system was proposed based on the modified Apriori algorithm and temporal mining technology,which combines the association rules and temporal association rules.And the relevant key technologies were also specifically described.Through this method,users are able to locate the service resources they have interest in,and it is of significance to the digital home recommendation system which is still at the preliminary stage of development.