房产信息系统客户群分类发布功能的设计与实现

发布时间：2018-01-03 14:02

本文关键词：房产信息系统客户群分类发布功能的设计与实现　出处：《电子科技大学》2013年硕士论文　论文类型：学位论文

【摘要】：在信息系统迅速发展的IT时代，房地产信息的传统营销方式面临着全面的改革。房地产信息的网络营销已经逐渐成为消费者和房地产商眼中不可或缺的信息获取与发布手段。网络的及时性、高效性、直观性、轰动性是把房地产行业与信息技术结合的主要源动力。本文研究的内容是基于Web的房地产信息发布系统的设计与实践，本系统采用的主要技术是ASP.NET技术框架和SQL Server数据库系统，主要侧重于对房地产信息客户群的细化分类，并基于不同细分客户群的特征，对该客户群做出相应的细分客户信息推荐。本系统根据对用户需求和潜在需求的分析，结合用户的实际情况，确定细分客户群的特征。基于这样细分客户群特征，把用户查询的信息进行分类、排序，优先显示符合细分客户群特征的房地产信息，滞后其他信息，已达到信息推荐的作用。从绪论出发，我们介绍了课题研究背景和具体研究内容，接下来我们将继续阐述系统用到的工具以及关键技术。系统的设计是基于分析当前房地产市场用户的需求，，信息发布系统和信息推荐系统基本要求，具体包括共6个模块的用户前端设计，和共2个模块的后台服务器端设计。在详细描述了系统的具体实现和关键细节后，以结论及未来系统的优化及改进结束。
[Abstract]:With the rapid development of information system of the IT era, the traditional marketing mode of real estate information is facing a comprehensive reform. The real estate information network marketing has gradually become an integral part of consumers and the real estate business in the information acquisition and network publishing means. Timely, efficient, intuitive, sensation is the main source of power with the real the real estate industry and information technology.
The content of this paper is the design and practice of the real estate information release system based on Web, this system is the framework of ASP.NET technology and SQL Server database system, the main focus on the real estate classification information of the customer base, and based on the characteristics of different customer segments, the customers make corresponding subdivision customer information is recommended. This system according to the user demand and potential demand analysis, combined with the actual situation of the user, determine the characteristics of customers. This customer segments based on the characteristics of the user query, information classification, sorting, priority display real estate information in accordance with the features of customer segments, lagging behind other information has been reached the role of information recommendation.
Starting from the introduction, we introduced the research background and the research content, then we will continue to use the tools described the system and the key technology. The design of the system is user analysis of the current real estate market demand based on the information publishing system and information recommendation system the basic requirements, including the design of user front-end includes 6 modules, and a total of 2 modules of the server side design. In the detailed description of the implementation and the key details of the system, and ends with the conclusion and future improvement of the system.

【学位授予单位】：电子科技大学
【学位级别】：硕士
【学位授予年份】：2013
【分类号】：TP311.52

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