To solve the increasing number of academic exchange resources,the diversity of scholars′research directions,and the sparse interaction between scholars and resources,a method of academic communication resources recommendation based on the characteristics of interdisciplinary was proposed.Fusing collaborative filtering with knowledge graph algorithms,through the optimized TransE model,the knowledge of academic exchange resources was expressed and learned,and the semantic similarity of academic exchange resources was calculated based on the resource semantic vectors.At the same time,considering the needs of scholars for interdisciplinary research,the similarity of scholars was calculated based on the interaction behavior,and the de-gree of interest of scholars in academic exchange resources was further formed,so as to obtain the final recommendation results.Experimental results show that this algorithm has higher performance than the traditional recommendation collaborative filtering recommendation algorithm.
关键词
学科交叉/学术交流资源/协同过滤/知识图谱/推荐算法
Key words
interdisciplinary/academic communication resources/collaborative filtering/knowledge graph/recommenda-tion
维普
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