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一种基于协同过滤技术的在线交友推荐系统的设计与实现
引用本文:李姣燕,徐选华. 一种基于协同过滤技术的在线交友推荐系统的设计与实现[J]. 数字社区&智能家居, 2007, 0(19)
作者姓名:李姣燕  徐选华
作者单位:中南大学,湖南,长沙,410083;湖南商学院,湖南,长沙,410205 中南大学,湖南,长沙,410083
摘    要:为了满足年轻人在交友择偶方面需求,越来越多的征友网站应运而生.随着网站用户不断增加,根据用户提交的交友要求来进行推荐,往往结果数以千计或万计,要从这里面发现用户感兴趣的对象变得非常困难,我们将协同过滤算法引入交友推荐系统,并设计了一个个性化相似项目的协同过滤算法,根据用户的兴趣进行项目最近邻居查找,大大提高了用户对搜索结果的满意度.

关 键 词:在线交友  协同过滤  推荐系统

Recommender System Based on Collaborative Filtering for Onling Dating Service
LI Jiao-yan,XU xuan-hua. Recommender System Based on Collaborative Filtering for Onling Dating Service[J]. Digital Community & Smart Home, 2007, 0(19)
Authors:LI Jiao-yan  XU xuan-hua
Affiliation:LI Jiao-yan12,XU xuan-hua1
Abstract:More and more cites provid online dating service.Service system require users input some matching information and return them matching users prolfiles. It become very more and more difficult for users to find someone which they are interested in.we In this paper we design a recommender system based on collaborative filtering for onling dating service.
Keywords:dating onling collaborative filtering  recommender system
本文献已被 CNKI 维普 等数据库收录!
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