计算机与数字工程2024，Vol.52Issue(5)：1366-1372,7.DOI:10.3969/j.issn.1672-9722.2024.05.018
服装服饰知识图谱构建与个性化推荐
Knowledge Graph Construction and Personalized Recommendation in Clothing Domain
摘要
Abstract
Knowledge graph,as an effective auxiliary class of information in hybrid recommendation,has received a great deal of attention from scholars in recent years.The article takes apparel matching as the entry point,mines the data content from the perspective of knowledge association,aligns and disambiguates the entity attributes through knowledge fusion technology,and thus constructs the apparel knowledge graph.The data is also used to support the construction of clothing knowledge map for clothing rec-ommendation,and the recommendation effect is evaluated.The results show that the recommendation system based on apparel knowledge map can achieve better recommendation effect than traditional apparel recommendation,and its recommended apparel products are more diversified and the apparel matching is also more extensive.关键词
知识图谱/服装推荐/个性化推荐/服装搭配Key words
knowledge graph/clothing recommendation/personalized recommendation/clothing matching分类
信息技术与安全科学引用本文复制引用
张俊杰,俞逸洋,袁桦..服装服饰知识图谱构建与个性化推荐[J].计算机与数字工程,2024,52(5):1366-1372,7.基金项目
湖北省教育厅哲学社会科学研究项目"产业融合视角下时尚产业可持续发展的动力机制及路径研究"(编号:20Q071) （编号:20Q071）
科技部重点研究专项基金项目"面向纺织服装产业集聚区域的网络协同制造集成技术研究与示范"(编号:2019YFB1706300)资助. （编号:2019YFB1706300）
