Knowledge graph and data application:intelligent recommendation

Jing ZHOU; Ximin SUN; Xiaokun YU; Xinning BIAN

doi:10.11959/j.issn.1000-0801.2019064

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Knowledge graph and data application:intelligent recommendation

Operation technology wide Angle | 更新时间：2024-06-05

- Knowledge graph and data application:intelligent recommendation
- Telecommunications Science Vol. 35, Issue 8, Pages: 165-172(2019)
- 作者机构：
- 作者简介：
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- DOI：10.11959/j.issn.1000-0801.2019064
  CLC： TP311
- Published Online：2019-08，
  
  Published：20 August 2019
- 稿件说明：
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Jing ZHOU, Ximin SUN, Xiaokun YU, et al. Knowledge graph and data application:intelligent recommendation[J]. Telecommunications science, 2019, 35(8): 165-172.
DOI：

Jing ZHOU, Ximin SUN, Xiaokun YU, et al. Knowledge graph and data application:intelligent recommendation[J]. Telecommunications science, 2019, 35(8): 165-172. DOI： 10.11959/j.issn.1000-0801.2019064.

摘要

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。

Abstract

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.

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references

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