基于人工鱼群算法的图书馆推荐平台设计  

Design of library recommendation platform based on artificial fish swarm algorithm

作　　者：刘一鸥[1] 

机构地区：[1]西安外事学院,陕西西安710077

出　　处：《电子设计工程》2017年第15期6-8,13,共4页Electronic Design Engineering

基　　金：2016年西安市社会科学规划基金项目(16IN13);2015年陕西省教育厅科学研究项目(15JK2113);2015年陕西省高等教育教学改革研究项目(15J37)

摘　　要：针对图书购买的个性化需求与管理需要,提出一种改进型人工鱼群算法的个性化图书推荐平台。本文首先对个性化推荐平台的功能需求进行分析;其次对系统整体架构、功能模块、运行环境等进行设计;再次,利用人工鱼群算法注重对用户行为进行分析,从而为广大的读者和图书销售商提供更为专业的图书推荐和管理建议;最后以C++6.0作为编程语言,Mysql作为数据库,对系统功能进行开发,并通过测试验证系统运行的可行性。In view of the personalized demand and the management of the library loan, an improved artificial fish algorithm is proposed. In this paper, we first for personalized recommendation platform functional requirements analysis; secondly, design the system architecture, function module, operating environment; again, the artificial fish swarm algorithm focus on analysis of user behavior, so as to the majority of readers and high school management departments to provide relevant recommended books and management recommendations;finally to C＋＋6.0 as the programming language, MySQL as the database, the functions of the system development, and the feasibility test system to run through.

关 键 词：人工鱼群算法 图书推荐 个性化需求 用户行为 聚类分析 

分 类 号：TN0[电子电信—物理电子学]