一种基于知识图谱的电气设备推荐搜索技术研究

Research on Electrical Equipment Recommendation Search Technology Based on Knowledge Map

随着信息技术的飞速发展,信息数据呈指数爆炸型增长趋势,知识图谱的出现有效地帮助用户快速有效地搜索得到所需信息。为此,本文对知识图谱的基本特征、实现流程以及当下的应用特性进行分析,提出了一种基于知识图谱的电气维修设备推荐搜索技术。通过将知识图谱中物品的向量化表示方法与协同过滤算法结合,充分应用知识图谱中电气设备的语义信息以及操作用户对电气设备的行为数据,搭建了基于知识图谱的协同过滤算法模型,并对算法的计算过程进行详细描述。最后,应用交叉验证法对所提模型的有效性进行验证,结果表明本文所提算法模型能够显著提升检索结果的有效性。

With the rapid development of information technology,information data is growing exponentially. The emergence of knowledge map effectively helps users to search for the information they need quickly and effectively. Therefore,this paper analyzed the basic characteristics,implementation process and current application characteristics of the knowledge map,and proposed a knowledge map based electrical maintenance equipment recommendation search technology. By combining the vectorization representation method of items in the knowledge map with the collaborative filtering algorithm,and making full use of the semantic information of electrical equipment in the knowledge map and the behavior data of operating users on electrical equipment,the collaborative filtering algorithm model based on the knowledge map was built,and the calculation process of the algorithm was described in detail. Finally,cross validation was used to verify the effectiveness of the proposed model. The results show that the proposed algorithm model can significantly improve the effectiveness of the retrieval results.