A Novel Intelligent Recommendation Algorithm Based on Mass Diffusion
Social recommendation algorithm is a common tool for recommending interesting or potentially useful items to users amidst the sea of online information. The users usually have various relationships, each of which has its unique impact on the recommendation results. It is unlikely to make accurate re...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2020-01-01
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| Series: | Discrete Dynamics in Nature and Society |
| Online Access: | http://dx.doi.org/10.1155/2020/4568171 |
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| _version_ | 1832554108381298688 |
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| author | Guanglai Tian Shuang Zhou Gengxin Sun Chih-Cheng Chen |
| author_facet | Guanglai Tian Shuang Zhou Gengxin Sun Chih-Cheng Chen |
| author_sort | Guanglai Tian |
| collection | DOAJ |
| description | Social recommendation algorithm is a common tool for recommending interesting or potentially useful items to users amidst the sea of online information. The users usually have various relationships, each of which has its unique impact on the recommendation results. It is unlikely to make accurate recommendations solely based on one relationship. Based on user-item bipartite graph, this paper establishes a multisubnet composited complex network (MSCCN) of multiple user relationships and then extends the mass diffusion (MD) algorithm into a novel intelligent recommendation algorithm. Two public online datasets, namely, Epinions and FilmTrust, were selected to verify the effect of the proposed algorithm. The results show that the proposed intelligent recommendation algorithm with two types of relationships made much more accurate recommendations than that with a single relationship and the traditional MD algorithm. |
| format | Article |
| id | doaj-art-acd303e17f84457bb283c88f3002a871 |
| institution | Kabale University |
| issn | 1026-0226 1607-887X |
| language | English |
| publishDate | 2020-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Discrete Dynamics in Nature and Society |
| spelling | doaj-art-acd303e17f84457bb283c88f3002a8712025-02-03T05:52:25ZengWileyDiscrete Dynamics in Nature and Society1026-02261607-887X2020-01-01202010.1155/2020/45681714568171A Novel Intelligent Recommendation Algorithm Based on Mass DiffusionGuanglai Tian0Shuang Zhou1Gengxin Sun2Chih-Cheng Chen3School of Data Science and Software Engineering, Qingdao University, Qingdao 266071, ChinaSchool of Data Science and Software Engineering, Qingdao University, Qingdao 266071, ChinaSchool of Data Science and Software Engineering, Qingdao University, Qingdao 266071, ChinaDepartment of Industrial Engineering and Management, Chaoyang University of Technology, Taichung 413310, TaiwanSocial recommendation algorithm is a common tool for recommending interesting or potentially useful items to users amidst the sea of online information. The users usually have various relationships, each of which has its unique impact on the recommendation results. It is unlikely to make accurate recommendations solely based on one relationship. Based on user-item bipartite graph, this paper establishes a multisubnet composited complex network (MSCCN) of multiple user relationships and then extends the mass diffusion (MD) algorithm into a novel intelligent recommendation algorithm. Two public online datasets, namely, Epinions and FilmTrust, were selected to verify the effect of the proposed algorithm. The results show that the proposed intelligent recommendation algorithm with two types of relationships made much more accurate recommendations than that with a single relationship and the traditional MD algorithm.http://dx.doi.org/10.1155/2020/4568171 |
| spellingShingle | Guanglai Tian Shuang Zhou Gengxin Sun Chih-Cheng Chen A Novel Intelligent Recommendation Algorithm Based on Mass Diffusion Discrete Dynamics in Nature and Society |
| title | A Novel Intelligent Recommendation Algorithm Based on Mass Diffusion |
| title_full | A Novel Intelligent Recommendation Algorithm Based on Mass Diffusion |
| title_fullStr | A Novel Intelligent Recommendation Algorithm Based on Mass Diffusion |
| title_full_unstemmed | A Novel Intelligent Recommendation Algorithm Based on Mass Diffusion |
| title_short | A Novel Intelligent Recommendation Algorithm Based on Mass Diffusion |
| title_sort | novel intelligent recommendation algorithm based on mass diffusion |
| url | http://dx.doi.org/10.1155/2020/4568171 |
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