[1]于海平[],林晓丽[],刘会超[]. 基于数据挖掘的移动广告个性化推荐研究[J].计算机技术与发展,2014,24(08):234-237.
　YU Hai-ping[],LIN Xiao-li[],LIU Hui-chao[]. Research of Mobile Internet Advertising Personalized Recommendation Based on Data Mining[J].,2014,24(08):234-237.
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 基于数据挖掘的移动广告个性化推荐研究()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
24
期数:
2014年08期
页码:
234-237
栏目:
应用开发研究
出版日期:
2014-08-10

文章信息/Info

Title:
 Research of Mobile Internet Advertising Personalized Recommendation Based on Data Mining
文章编号:
1673-629X（2014）08-0001-04
作者:
 于海平[1]; 林晓丽[1] ; 刘会超[2]
 1.武汉科技大学城市学院 信息工程学部；2.黄淮学院 网络信息中心
Author(s):
 YU Hai-ping[1]; LIN Xiao-li[1]; LIU Hui-chao[2]
关键词:
 ; 移动互联网; 推荐系统; 数据挖掘; 智能算法; 行为特征
Keywords:
 ; mobile Internet; recommendation system; data mining; intelligence algorithm; behavior characteristics
分类号:
TP39
文献标志码:
A
摘要:
 移动互联网目前已经成为当今最具潜力的市场之一，与此同时，移动广告作为一种新兴的网络营销模式也得以迅速发展起来。诸多企业已经把目标投放在移动广告市场这一领域。当前，移动广告主要利用传统的广告定位策略，通过应用程序展示触发客户需求并以此来进行传播，从而导致移动用户被动地接受一些并不感兴趣的广告内容，严重干扰了用户的正常使用，甚至会泄露用户的个人隐私。文中从分析用户个人的行为和如何定位用户的实时位置出发，研究基于移动互联网下广告个性化推荐策略，提出研究模型，开发基于用户位置和兴趣的实时广告推荐服务系统。
Abstract:
 Mobile Internet has become the world’s most promising markets in the world,at the same time,mobile advertising as a new network marketing model also can develop rapidly and become a hot spot. So many companies have invested in the target mobile advertis-ing market in this area. Currently, mobile advertising has taken traditional advertising positioning strategy, and is spread through APP show and trigger customer needs. Therefore,it will lead to a mobile user passively accepts advertising content not interested,which seri-ously disturbes the normal user access and browsing,even revealing user privacy. From the analysis of user behavior and how to locate the user real-time position as a starting point,recommendation strategy is researched based on personalized mobile Internet advertising,thus providing the real-time ads point recommendation service system based on users localization and interest.

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更新日期/Last Update: 2015-03-31