哈尔滨商业大学学报（自然科学版）2019，Vol.35Issue(2)：199-203,5.
电商推荐系统中查询优化研究
Research on query optimization in E-commerce recommendation system
张玉莹 1宁士勇1
作者信息
- 1. 哈尔滨商业大学 计算机与信息工程学院,哈尔滨 150028
- 折叠
摘要
Abstract
This paper analyzed the bottleneck problem in the implementation process of e-commerce recommendation system. Compared with the query optimization technology that was often used at present, this paper used the data cache, face-to-face query and Solr search method to query by SSM + Duboox framework. Optimization to improve query speed; this paper analyzed the business logic of the E-commerce recommendation system, and designed a three-level commodity classification list query function, which was convenient for users to query and improve the accuracy of recommendation.关键词
电子商务/查询优化/分面搜索/缓存/SSM框架/Solr搜索技术Key words
E-commerce/query optimization/faceted search/cache/SSM framework/Solr search technology分类
信息技术与安全科学引用本文复制引用
张玉莹,宁士勇..电商推荐系统中查询优化研究[J].哈尔滨商业大学学报（自然科学版）,2019,35(2):199-203,5.
