基于用户性格分析的智能礼物推荐系统

摘要

针对有些客户在购买礼物时挑选困难的问题，本文采用C/S模式架构设计，再采用语音转文本、jieba分词等技术，设计实现了一款智能礼物推荐系统。前端采用卡片式 瀑布流式布局设计；后台采用SpringBoot和Flask相结合的后台开发。本文利用送礼人对收礼人的语音描述，编写基于用户性格的商品推荐算法，智能的推荐与收礼人相匹配的礼物。系统为用户提供了查询浏览礼物商品、发布查看礼物帖子、浏览收藏关注DIY礼物教程、精致礼物推荐美文、智能推荐礼物、好友生日提醒以及用户所有信息查看功能，解决了用户挑选礼物时会遇到的问题。 Aiming at the problem that some customers have difficulty in choosing gifts, this paper adopts C/S mode architecture design, and then uses voice to text, jieba word segmentation and other technologies to design and implement a smart gift recommendation system. The front-end adopts the card waterfall flow layout design; the back-end adopts the background development combined with SpringBoot and Flask. This article uses the voice description of the giver to the recipient, writes a product recommendation algorithm based on the user’s personality, and intelligently recommends gifts that match the recipient. The system provides users with the functions of querying and browsing gift products, posting and viewing gift posts, browsing collections and following DIY gift tutorials, exquisite gift recommendation text, smart recommendation gifts, friend birthday reminders, and all user information viewing functions, which solves the problems encountered by users when choosing gifts.