基于科研大数据信息的目标对象推荐方法和系统

• Format: Patent
• Language: Chinese
• Published: 30.01.2024
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES; ELECTRIC DIGITAL DATA PROCESSING; PHYSICS; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR

本发明公开了一种基于科研大数据信息的目标对象推荐方法和系统。本发明面向以整个国别为尺度的科研大数据信息范围下的目标学科领域对象推荐，通过自动构建学科领域科研信息知识图谱并利用该知识图谱确定推荐关联的科研信息集合，能够提高推荐的准确性和关联度；进而通过波士顿矩阵方法，基于推荐关联的科研信息集合，计算表征学科领域科研水平和合作倾向度的评价指标，基于评价指标实现目标学科领域对象推荐。 The invention discloses a target object recommendation method and system based on scientific research big data information. According to the method, for target subject field object recommendation in a scientific research big data information range with the whole country as the scale, the subject field scientific research information knowledge graph is automatically constructed, and the scientific research information set associated with recommendation is determined by using the knowledge graph, so that the recommendation accuracy and association degree can be improved; and calculating an evaluation index representing the scientific research level and the cooperation tendency degree of the subject field based on the scientific research information set associated with the recommendation through a Boston matrix method, and r