电子商务平台中搜索系统的设计与实现

发布时间：2018-04-08 10:02

本文选题：电子商务　切入点：搜索系统　出处：《郑州大学》2014年硕士论文

【摘要】：在信息技术飞速地发展下，人类社会的各行各业都受到了前所未有的巨大影响。电子商务是最受人们关注的行业之一，它以低成本、个性化和全球性等特点，极大地提高了传统商务活动的效益和效率。与此同时，电子商务以一种新型的商业模式影响着社会经济发展，也丰富了人们的生活方式。电子商务网络平台中聚集了海量的商品信息，对感兴趣商品的快速准确定位会给买家带来更便捷和愉快的购物体验。商品信息多数保存在关系型数据库中，但关系型数据库的查找方式并不能够较好地满足电子商务平台中大规模商品搜索的需求。在实际项目中利用倒排索引这样的数据结构可以解决海量商品信息快速、准确搜索的问题。本论文的主要工作包括以下内容：首先分析常见电子商务网站搜索系统的基本功能，，对其特点进行归纳总结；然后结合项目实际业务做更详细的需求分析，设计用例图、功能结构图等；再根据需求分析结果，以系统相对独立的功能进行模块划分，详细设计各个模块实现方案，并构建整体结构图；最后，以J2EE环境为基础，使用Lucene、Struts、Ajax等多种技术开发并实现商品搜索、自动提示、拼写检查、索引备份、索引还原等功能。通过使用该系统，整个电子商务平台的搜索功能大幅度得到提升，同时也减轻了系统压力、节省系统硬件资源，为使用者带来更快捷、方便的搜索体验。
[Abstract]:With the rapid development of information technology, all kinds of industries in human society have been greatly affected.E-commerce is one of the most concerned industries. It greatly improves the efficiency and efficiency of traditional business activities with the characteristics of low cost, individuation and global.At the same time, e-commerce affects social and economic development with a new business model and enriches people's way of life.The electronic commerce network platform gathers the massive commodity information, the quick accurate localization of the interested goods will bring the buyer more convenient and happy shopping experience.Most commodity information is stored in relational database, but the lookup method of relational database can not meet the demand of large-scale commodity search in E-commerce platform.The problem of fast and accurate searching for massive commodity information can be solved by using inverted index in actual project.The main work of this paper includes the following contents: firstly, the basic function of the common e-commerce website search system is analyzed, and its characteristics are summarized, and then the use case diagram is designed according to the actual business of the project.According to the result of requirement analysis, the module is divided into modules, and each module is designed in detail. Finally, based on the J2EE environment, the function structure diagram is constructed.Using Lucene #en0# Struts Ajax and other technologies to develop and achieve commodity search, automatic prompt, spelling check, index backup, index restore and other functions.By using the system, the search function of the whole e-commerce platform is greatly improved, and the pressure of the system is also reduced, the hardware resources of the system are saved, and the search experience is faster and more convenient for the users.
【学位授予单位】：郑州大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TP391.3

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