随着大数据及人工智能的发展，知识图谱以超强关系表达能力、交互探索式分析方式、智能性知识逻辑体系、高速数据调取速度等突出特点在个性化推荐系统中逐步推广应用。本文对基于知识图谱的航海信息个性化推荐系统进行研究，结合船长和船员在航海作业时界面浏览、操控频率等习惯性操作，综合分析航海知识图谱构建技术、航海信息元关联技术、个性化推荐挖掘技术，搭建基于动态热力圈的船流量、基于地理位置的热点航海信息、基于进出港操纵下泊位信息分级、基于位置信息库的船舶动态迁徙的专题推荐功能，实现海上-港内-船上全流程航海信息的“一站式获取、按需推送”个性化推荐服务，极大精简了航海作业流程，提升航海作业信息综合应用的智能化水平。
With the development of big data and artificial intelligence, knowledge atlas has been gradually popularized and applied in personalized recommendation system with its outstanding features such as super relational expression ability, interactive exploratory analysis, intelligent knowledge logic system, and high-speed data retrieval speed. This paper studies the navigation information personalized recommendation system based on the knowledge map. Combining with the customary operations of the captain and crew during navigation operations such as interface browsing and control frequency, it comprehensively analyzes the navigation knowledge map construction technology, navigation information element association technology, personalized recommendation mining technology, and builds the ship flow based on dynamic thermal circle, hot navigation information based on geographical location Based on the special recommendation function of berth information classification under inbound and outbound operations and dynamic migration of ships based on the location information database, the personalized recommendation service of "one-stop access and on-demand push" for the whole process of navigation information at sea, in port and on board has been realized, which greatly simplifies the navigation operation process and improves the intelligent level of integrated application of navigation operation information.
2024,46(4): 152-157 收稿日期：2023-02-28
DOI：10.3404/j.issn.1672-7649.2024.04.028
分类号：U675.8
作者简介：崔明月(1994-),女,硕士,工程师,研究方向为航海导航技术
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