我国个性化推荐算法现状可视化分析——对服装领域发展趋势的思考

Visual analysis of the current situation of personalized recommendation algorithms in China——Thinking about the development trend of apparel field

为把握当前个性化推荐算法研究的进展热点,向服装领域的未来发展提供线索,基于2012—2022年中国知网(CNKI)数据库发表的个性化推荐算法相关研究文献701篇,采用CiteSpace、Gephi可视化软件绘制个性化推荐算法领域的发文量、关键词、高频词以及时区图,通过文献计量法和文献综述梳理分析该领域研究的动态前沿。研究结果显示,个性化推荐算法发展的趋势为智能化。结合该结果对服装相关领域的现状与前景进行思考总结,发现智能化与个性化相结合是服装未来发展的方向。

In order to grasp the current progress hotspots of personalized recommendation algorithm research and provide clues to the future development of the clothing field.Based on 701 research documents related to personalized recommendation algorithm published in CNKI database from 2012—2022,we use CiteSpace and Gephi visualization software to draw the volume of articles,keywords,high frequency words and time zone map in the field of personalized recommendation algorithm,and analyze the dynamic frontier of research in this field through bibliometric method and literature review combing.The research results show that the trend of personalized recommendation algorithm development is intelligent.Combining the results with the current situation and prospect of the apparel-related field,it is found that the combination of intelligence and personalization is the future development direction of apparel.