Research of the Context Recommendation Algorithm Based on the Tripartite Graph Model in Complex Systems
With the rapid development of information technology, the information overload has become a very serious problem in web information environment. The personalized recommendation came into being. Current recommending algorithms, however, are facing a series of challenges. To solve the problem of the c...
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| Format: | Article |
| Language: | English |
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Wiley
2020-01-01
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| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2020/7945417 |
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| _version_ | 1832546781032873984 |
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| author | Fei Long |
| author_facet | Fei Long |
| author_sort | Fei Long |
| collection | DOAJ |
| description | With the rapid development of information technology, the information overload has become a very serious problem in web information environment. The personalized recommendation came into being. Current recommending algorithms, however, are facing a series of challenges. To solve the problem of the complex context, a new context recommendation algorithm based on the tripartite graph model is proposed for the three-dimensional model in complex systems. Improving the accuracy of the recommendation by the material diffusion, through the heat conduction to improve the diversity of the recommended objects, and balancing the accuracy and diversity through the integration of resources thus realize the personalized recommendation. The experimental results show that the proposed context recommendation algorithm based on the tripartite graph model is superior to other traditional recommendation algorithms in recommendation performance. |
| format | Article |
| id | doaj-art-01569d98de984e03b86ec5ceb36018b3 |
| institution | Kabale University |
| issn | 1076-2787 1099-0526 |
| language | English |
| publishDate | 2020-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-01569d98de984e03b86ec5ceb36018b32025-02-03T06:47:00ZengWileyComplexity1076-27871099-05262020-01-01202010.1155/2020/79454177945417Research of the Context Recommendation Algorithm Based on the Tripartite Graph Model in Complex SystemsFei Long0School of Economics and Management, Changsha University, Changsha 410003, ChinaWith the rapid development of information technology, the information overload has become a very serious problem in web information environment. The personalized recommendation came into being. Current recommending algorithms, however, are facing a series of challenges. To solve the problem of the complex context, a new context recommendation algorithm based on the tripartite graph model is proposed for the three-dimensional model in complex systems. Improving the accuracy of the recommendation by the material diffusion, through the heat conduction to improve the diversity of the recommended objects, and balancing the accuracy and diversity through the integration of resources thus realize the personalized recommendation. The experimental results show that the proposed context recommendation algorithm based on the tripartite graph model is superior to other traditional recommendation algorithms in recommendation performance.http://dx.doi.org/10.1155/2020/7945417 |
| spellingShingle | Fei Long Research of the Context Recommendation Algorithm Based on the Tripartite Graph Model in Complex Systems Complexity |
| title | Research of the Context Recommendation Algorithm Based on the Tripartite Graph Model in Complex Systems |
| title_full | Research of the Context Recommendation Algorithm Based on the Tripartite Graph Model in Complex Systems |
| title_fullStr | Research of the Context Recommendation Algorithm Based on the Tripartite Graph Model in Complex Systems |
| title_full_unstemmed | Research of the Context Recommendation Algorithm Based on the Tripartite Graph Model in Complex Systems |
| title_short | Research of the Context Recommendation Algorithm Based on the Tripartite Graph Model in Complex Systems |
| title_sort | research of the context recommendation algorithm based on the tripartite graph model in complex systems |
| url | http://dx.doi.org/10.1155/2020/7945417 |
| work_keys_str_mv | AT feilong researchofthecontextrecommendationalgorithmbasedonthetripartitegraphmodelincomplexsystems |