【摘要】 本文设计的化妆品查询可视化系统使用基于内容的推荐算法,实现个性化产品推荐,采用C#语言、数据库技术和Web服务实现用户对化妆品的查询,采用Lucene全文搜索算法改善SQL搜索语句的弊端,查询结果用图文的形式展示,方便用户更加快速、高效地获取化妆品的信息。该系统依托化妆品的信息数据库,提供了对化妆品、产品成分、门店及品牌的数据管理功能。更多还原

【Abstract】 The cosmetics query visualization system designed in this paper uses content-based recommendation algorithm to realize personalized product recommendation, uses C # language, database technology and web services to realize users’ query of cosmetics, uses Lucene full-text search algorithm to improve the disadvantages of SQL search statements, and the query results are displayed in the form of graphics, which is convenient for users to query cosmetics more quickly Get cosmetic information efficiently. Based on the information database of cosmetics, the system provides data management functions for cosmetics, product ingredients, stores and brands.更多还原