Collaborative Recommendation for Online Social Networks Based on User Behavior Cognitive

Recently,online social network(OSN)has become essential tools for information sharing and communication in people’s work and life.How to cognitive massive,complex,large-area and spatiotemporal association user behavior information and provide personalized re1commendation services have become problem...

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Main Authors: Jin Qi, Bin Xu, Xiaoxuan Hu, Bianjia Xu, Xinglin Xiao
Format: Article
Language:zho
Published: Beijing Xintong Media Co., Ltd 2015-10-01
Series:Dianxin kexue
Subjects:
Online Access:http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2015273/
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author Jin Qi
Bin Xu
Xiaoxuan Hu
Bianjia Xu
Xinglin Xiao
author_facet Jin Qi
Bin Xu
Xiaoxuan Hu
Bianjia Xu
Xinglin Xiao
author_sort Jin Qi
collection DOAJ
description Recently,online social network(OSN)has become essential tools for information sharing and communication in people’s work and life.How to cognitive massive,complex,large-area and spatiotemporal association user behavior information and provide personalized re1commendation services have become problems need special attention in development of OSN.Thus,a frame of collaborative recommendation for OSN based on user behavior cognitive was proposed which used collaborative filtering algorithm to provide personalized recommendation services on the basis of analysis of behavior of user characteristics,text information and interest preferences,etc.Experimental results verify that the proposed collaborative recommendation strategy based on user behavior cognitive has good stability and actual application effect.
format Article
id doaj-art-44b9b5abd3c641efb698193e63532eee
institution Kabale University
issn 1000-0801
language zho
publishDate 2015-10-01
publisher Beijing Xintong Media Co., Ltd
record_format Article
series Dianxin kexue
spelling doaj-art-44b9b5abd3c641efb698193e63532eee2025-01-15T03:24:07ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012015-10-013110811459798324Collaborative Recommendation for Online Social Networks Based on User Behavior CognitiveJin QiBin XuXiaoxuan HuBianjia XuXinglin XiaoRecently,online social network(OSN)has become essential tools for information sharing and communication in people’s work and life.How to cognitive massive,complex,large-area and spatiotemporal association user behavior information and provide personalized re1commendation services have become problems need special attention in development of OSN.Thus,a frame of collaborative recommendation for OSN based on user behavior cognitive was proposed which used collaborative filtering algorithm to provide personalized recommendation services on the basis of analysis of behavior of user characteristics,text information and interest preferences,etc.Experimental results verify that the proposed collaborative recommendation strategy based on user behavior cognitive has good stability and actual application effect.http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2015273/online social networkbehavior cognitivecollaborative recommendationuser interest model
spellingShingle Jin Qi
Bin Xu
Xiaoxuan Hu
Bianjia Xu
Xinglin Xiao
Collaborative Recommendation for Online Social Networks Based on User Behavior Cognitive
Dianxin kexue
online social network
behavior cognitive
collaborative recommendation
user interest model
title Collaborative Recommendation for Online Social Networks Based on User Behavior Cognitive
title_full Collaborative Recommendation for Online Social Networks Based on User Behavior Cognitive
title_fullStr Collaborative Recommendation for Online Social Networks Based on User Behavior Cognitive
title_full_unstemmed Collaborative Recommendation for Online Social Networks Based on User Behavior Cognitive
title_short Collaborative Recommendation for Online Social Networks Based on User Behavior Cognitive
title_sort collaborative recommendation for online social networks based on user behavior cognitive
topic online social network
behavior cognitive
collaborative recommendation
user interest model
url http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2015273/
work_keys_str_mv AT jinqi collaborativerecommendationforonlinesocialnetworksbasedonuserbehaviorcognitive
AT binxu collaborativerecommendationforonlinesocialnetworksbasedonuserbehaviorcognitive
AT xiaoxuanhu collaborativerecommendationforonlinesocialnetworksbasedonuserbehaviorcognitive
AT bianjiaxu collaborativerecommendationforonlinesocialnetworksbasedonuserbehaviorcognitive
AT xinglinxiao collaborativerecommendationforonlinesocialnetworksbasedonuserbehaviorcognitive