面向科技资源需求的推荐方法研究

Research on the Recommendation Method for the Demand Hall of Scientific and Technological Resources

围绕科技资源需求大厅的功能,提出协同过滤与内容相结合的推荐方法,采用向量相似度计算和聚类的进行需求匹配,能够适应科技资源推荐过程中数据量巨大、数据稀疏、多样化等特点,为待解决需求者推荐合适的资源。

With the surging importance of scientific and technological resources appears in scientific and technological activities, increasing areas are making efforts to establish shared service platform to promote cooperation between source users and providers. As to the function of scientific and technological resources＇ demand hall, puts forward a recommendation method of integrating collaborative filtering and con- tents. It matches demands by vector quantity similarity calculation and clustering, recommending resources to demanders from whatever huge, sparse or diversified data.