基于协同过滤的档案资源智能推荐算法研究

Research on Intelligent Recommendation Algorithm of Archives Resources Based on Collaborative Filtering

档案资源检索智能化是实现档案智能服务的关键突破点。协同过滤是实现档案智能化服务的一项重要技术。推进档案智能服务实现,要求应用的实现算法具有较好的克服数据稀疏性、冷启动等问题的能力,并具备较低的时间与空间代价,同时具有较好的适应性。为此针对性地提出应用于档案智能服务的协同过滤改进算法,通过数学证明分析和在典型数据集上的实际测试,表明该算法可较好地用于档案资源智能推荐,促进档案智能服务落地实现。

The intelligent retrieval of archives resources is the key point to realize the intelligent archives service.Collaborative filtering is an important technology to realize the intelligent service of archives.In order to promote the realization of intelligent archives service,it is required that the algorithm overcome the problems of data sparsity and cold start,have lower time and space cost,and also have good adaptability.Therefore,an improved collaborative filtering algorithm is proposed accordingly,which is applied to intelligent service of archives.Through mathematical proof analysis and practical test on typical data sets,it shows that the algorithm can be used for intelligent recommendation of archives resources and to promote the implementation of archives intelligent service.