基于协同过滤的房源推荐系统的设计与实现.docxVIP

PAGE 23 摘 要 本论文通过对当前房屋租赁市场存在的痛点问题进行分析，结合互联网信息系统的考察，以自主开发一个B/S架构的房源推荐系统为例，对开发过程的一些技术问题提出一些实用性的建议及实现。论文首先从房屋租赁市场的发展现况与互联网信息系统发展前景进行分析，提出了将两者结合起来，通过实现一个算法推荐系统改善房屋租赁市场现状的设想。 在此基础上，本论文介绍了房源推荐系统的开发过程以及其中的技术问题，以B/S模式进行系统的开发，以Java作为开发语言，以IntelliJ IDEA作为开发工具，采用Spring Boot开发框架，借助业界现有的推荐算法，由需求分析，功能设计，数据组织，代码组织等各个方面对房源推荐系统的开发过程做出一定的实践，在实现的同时，总结经验，并将前期的整体设计，中期的具体实现过程，后续的软件测试的具体思路呈现在论文中。 关键词：房屋租赁 推荐系统 Java Spring Boot 协同过滤 ABSTRACT This paper analyzes the pain points existing in the current housing rental market, combined with the investigation of the Internet information system, and takes an independent development of a B / S architecture house recommendation system as an example to propose some practical problems in the development process. Proposal and realization. The thesis first analyzes the development status of the housing rental market and the development prospects of the Internet information system, and puts forward the idea of ??combining the two and improving the status of the housing rental market by implementing an algorithm recommendation system. On this basis, this paper introduces the development process of the house recommendation system and its technical problems. The system is developed in B / S mode, Java is used as the development language, IntelliJ IDEA is used as the development tool, and the Spring Boot development framework is adopted. With the help of the existing recommendation algorithms in the industry, we need to make certain practices in the development process of the house recommendation system from the aspects of demand analysis, functional design, data organization, code organization, etc. The overall design, the specific implementation process in the medium term, and the specific ideas for subsequent software testing are presented in the paper. Key words: Housing Rental Recommendation Algorithm Java Spring Boot Collaborative filtering 目 录 TOC \o 1-3 \h \u 1. 绪论 1 1.1. 研究背景 1 1.2. 研究目的和意义 1 1.2.1. 研究目的 1 1.2.2. 研究意义 2 1.3. 研究