A Prediction Method of Mobile User Preference Based on the Influence between Users
User preference will be impacted by other users. To accurately predict mobile user preference, the influence between users is introduced into the prediction model of user preference. First, the mobile social network is constructed according to the interaction behavior of the mobile user, and the inf...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2018-01-01
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| Series: | International Journal of Digital Multimedia Broadcasting |
| Online Access: | http://dx.doi.org/10.1155/2018/8081409 |
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| _version_ | 1850220284495265792 |
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| author | Yancui Shi Jianhua Cao Congcong Xiong Xiankun Zhang |
| author_facet | Yancui Shi Jianhua Cao Congcong Xiong Xiankun Zhang |
| author_sort | Yancui Shi |
| collection | DOAJ |
| description | User preference will be impacted by other users. To accurately predict mobile user preference, the influence between users is introduced into the prediction model of user preference. First, the mobile social network is constructed according to the interaction behavior of the mobile user, and the influence of the user is calculated according to the topology of the constructed mobile social network and mobile user behavior. Second, the influence between users is calculated according to the user’s influence, the interaction behavior between users, and the similarity of user preferences. When calculating the influence based on the interaction behavior, the context information is considered; the context information and the order of user preferences are considered when calculating the influence based on the similarity of user preferences. The improved collaborative filtering method is then employed to predict mobile user preferences based on the obtained influence between users. Finally, the experiment is executed on the real data set and the integrated data set, and the results show that the proposed method can obtain more accurate mobile user preferences than those of existing methods. |
| format | Article |
| id | doaj-art-775a15e46a314470b45b0b4e12e8c96c |
| institution | OA Journals |
| issn | 1687-7578 1687-7586 |
| language | English |
| publishDate | 2018-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Digital Multimedia Broadcasting |
| spelling | doaj-art-775a15e46a314470b45b0b4e12e8c96c2025-08-20T02:07:08ZengWileyInternational Journal of Digital Multimedia Broadcasting1687-75781687-75862018-01-01201810.1155/2018/80814098081409A Prediction Method of Mobile User Preference Based on the Influence between UsersYancui Shi0Jianhua Cao1Congcong Xiong2Xiankun Zhang3Institute of Computer Science and Information Engineering, Tianjin University of Science & Technology, Tianjin, ChinaInstitute of Computer Science and Information Engineering, Tianjin University of Science & Technology, Tianjin, ChinaInstitute of Computer Science and Information Engineering, Tianjin University of Science & Technology, Tianjin, ChinaInstitute of Computer Science and Information Engineering, Tianjin University of Science & Technology, Tianjin, ChinaUser preference will be impacted by other users. To accurately predict mobile user preference, the influence between users is introduced into the prediction model of user preference. First, the mobile social network is constructed according to the interaction behavior of the mobile user, and the influence of the user is calculated according to the topology of the constructed mobile social network and mobile user behavior. Second, the influence between users is calculated according to the user’s influence, the interaction behavior between users, and the similarity of user preferences. When calculating the influence based on the interaction behavior, the context information is considered; the context information and the order of user preferences are considered when calculating the influence based on the similarity of user preferences. The improved collaborative filtering method is then employed to predict mobile user preferences based on the obtained influence between users. Finally, the experiment is executed on the real data set and the integrated data set, and the results show that the proposed method can obtain more accurate mobile user preferences than those of existing methods.http://dx.doi.org/10.1155/2018/8081409 |
| spellingShingle | Yancui Shi Jianhua Cao Congcong Xiong Xiankun Zhang A Prediction Method of Mobile User Preference Based on the Influence between Users International Journal of Digital Multimedia Broadcasting |
| title | A Prediction Method of Mobile User Preference Based on the Influence between Users |
| title_full | A Prediction Method of Mobile User Preference Based on the Influence between Users |
| title_fullStr | A Prediction Method of Mobile User Preference Based on the Influence between Users |
| title_full_unstemmed | A Prediction Method of Mobile User Preference Based on the Influence between Users |
| title_short | A Prediction Method of Mobile User Preference Based on the Influence between Users |
| title_sort | prediction method of mobile user preference based on the influence between users |
| url | http://dx.doi.org/10.1155/2018/8081409 |
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