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: | , , , , |
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| Format: | Article |
| Language: | zho |
| Published: |
Beijing Xintong Media Co., Ltd
2015-10-01
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| Series: | Dianxin kexue |
| Subjects: | |
| Online Access: | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2015273/ |
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| Summary: | 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. |
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| ISSN: | 1000-0801 |