基于Android智能终端的个性化新闻推荐系统  

Personalized News Recommendation System Based on Android Intelligent Terminal

作　　者：李洁[1] 周晨程 陈慧萍[1] 华娇娇[1] 赵衎衎 秦莹莹[1] 

机构地区：[1]河海大学物联网工程学院,常州213022

出　　处：《微处理机》2015年第3期38-42,共5页Microprocessors

基　　金：国家大学生创新实践项目资助(201210294075)

摘　　要：为更好的让智能终端的新闻阅读有针对性,本课题对新闻个性化推荐技术展开了研究,设计并实现了基于Android智能终端的个性化新闻推荐系统。系统采用C/S架构,服务器端首先进行新闻爬取和分类建模,然后根据新闻相似性和用户阅读行为,分阶段利用三种推荐模型即基于新闻分类的粗粒度推荐、基于内容的新闻推荐及基于内容和基于用户协同过滤混合的新闻推荐进行个性化新闻推荐;客户端负责个性化新闻阅读以及用户行为数据上传。经测试,本系统的分阶段不同个性化推荐算法可以很好的满足广大用户的个性化新闻阅读需求。In order to make the news reading in the intelligent terminal more personalized,we design and implement the system of personalized news recommendation based on the Android intelligent terminal.The system,based on C /S structure,firstly crawls news and establishes the models with classifications in the server terminal,and then,in different phases to carry out the personalized news recommendation in accordance with similarities between news and users＇reading behaviors,uses different recommendation models such as the coarse -grained recommendation based on news classification,the news recommendation based on content and the mixed recommendation based on news content and users collaborative filtering.The client terminal is used for reading personalized news and uploading user behavior data.After test,the personalized recommendation algorithm of the system in different phases can satisfy the users＇reading needs for the personalized news.

关 键 词：新闻推荐 用户模型 基于内容 协同过滤 混合推荐 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]