计算机与现代化Issue(8)：24-30,7.DOI:10.3969/j.issn.1006-2475.2025.08.004
基于异质信息网络的图书跨域推荐方法
Cross-domain Book Recommendation Method Based on Heterogeneous Information Network
摘要
Abstract
Aiming at the problem that the accuracy of the recommendation algorithm is reduced due to data sparsity and cold start in the learning data domain in the current student book recommendation model,a cross-domain recommendation method Het-erCDR(Heter Cross-Domain Recommendation)based on heterogeneous information networks is proposed.The modeling of source domain information is realized by introducing the translation distance model to construct a heterogeneous information net-work,and the DANN model is used to realize the migration of source domain information to the target domain.The heterogeneous information network and cross-domain recommendation are combined to improve the accuracy of target domain recommendation.The experimental data set uses the relevant data of students from grade 20 to grade 21 of a higher vocational college.The experi-mental results show that compared with other recommendation models,the hit rate of the HeterCDR model is improved by about 3.35%on average,the NDCG index is improved by about 2.8%,and the RMSE index is reduced by about 2.65%.关键词
图书推荐/异质信息网络/跨域推荐/网络表示学习/迁移学习Key words
book recommendation/heterogeneous information network/cross-domain recommendation/the network represents learning/transfer learning分类
信息技术与安全科学引用本文复制引用
石丰源,毛毅,焦磊..基于异质信息网络的图书跨域推荐方法[J].计算机与现代化,2025,(8):24-30,7.基金项目
国家自然科学基金资助项目(62002174) （62002174）
南通市科技计划项目(JCZ2022083) （JCZ2022083）
