知识图谱与数据应用——智能推荐

知识图谱技术是新兴的互联网技术，具有较好的前瞻性和较强的技术先进性，有着广泛的应用前景。知识图谱技术提供从“关系”的角度分析问题的能力，可以对数据进行深度挖掘，将自然语言转化为计算机语言，最大限度地展示数据的价值，可以服务于智能搜索、智能推荐、风险预警、智能运营、智能客服、舆情监测、设备预警等业务，大幅地提高企业生产效率。研究了综合聚类算法、SVD分解算法、基于商品的协同顾虑推荐算法、基于用户的协同顾虑推荐算法和商品相似度算法等，结合推荐策略提出了基于知识图谱数据应用的智能推荐系统。证明了以知识图谱作为基础工具的数据应用的可实施性和可部署性，能够全面满足用户在互联网平台的获取信息的需求。

Knowledge graph and data application:intelligent recommendation

Knowledge graph technology is an emerging internet technology with good forward-looking and strong technological advancement,and has broad application prospects.Knowledge graph technology provides the ability to analyze problems from the “relationship” perspective.It can deeply mine data,transform natural language into computer language,and display the value of data to the greatest extent.It can serve intelligent search,intelligent recommendation,risk early warning,intelligent operation,intelligent customer service,public opinion monitoring,equipment early warning and other businesses,greatly improving the production efficiency of enterprises.The comprehensive clustering algorithm,SVD decomposition algorithm,commodity-based collaborative concerns recommendation algorithm,user-based collaborative concerns recommendation algorithm and commodity similarity algorithm were studied.Combined with recommendation strategy,an intelligent recommendation system based on knowledge graph data application was proposed.It proves the feasibility and deployability of the data application with knowledge graph as the basic tool,which can fully meet the user’s demand for information on the internet platform.