A Novel Preferential Diffusion Recommendation Algorithm Based on User’s Nearest Neighbors
Recommender system is a very efficient way to deal with the problem of information overload for online users. In recent years, network based recommendation algorithms have demonstrated much better performance than the standard collaborative filtering methods. However, most of network based algorithm...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Wiley
2017-01-01
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| Series: | International Journal of Digital Multimedia Broadcasting |
| Online Access: | http://dx.doi.org/10.1155/2017/1386461 |
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| _version_ | 1832550063686025216 |
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| author | Fuguo Zhang Yehuan Liu Qinqiao Xiong |
| author_facet | Fuguo Zhang Yehuan Liu Qinqiao Xiong |
| author_sort | Fuguo Zhang |
| collection | DOAJ |
| description | Recommender system is a very efficient way to deal with the problem of information overload for online users. In recent years, network based recommendation algorithms have demonstrated much better performance than the standard collaborative filtering methods. However, most of network based algorithms do not give a high enough weight to the influence of the target user’s nearest neighbors in the resource diffusion process, while a user or an object with high degree will obtain larger influence in the standard mass diffusion algorithm. In this paper, we propose a novel preferential diffusion recommendation algorithm considering the significance of the target user’s nearest neighbors and evaluate it in the three real-world data sets: MovieLens 100k, MovieLens 1M, and Epinions. Experiments results demonstrate that the novel preferential diffusion recommendation algorithm based on user’s nearest neighbors can significantly improve the recommendation accuracy and diversity. |
| format | Article |
| id | doaj-art-552101e1f700456c8491c0dddc388fc8 |
| institution | Kabale University |
| issn | 1687-7578 1687-7586 |
| language | English |
| publishDate | 2017-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Digital Multimedia Broadcasting |
| spelling | doaj-art-552101e1f700456c8491c0dddc388fc82025-02-03T06:07:47ZengWileyInternational Journal of Digital Multimedia Broadcasting1687-75781687-75862017-01-01201710.1155/2017/13864611386461A Novel Preferential Diffusion Recommendation Algorithm Based on User’s Nearest NeighborsFuguo Zhang0Yehuan Liu1Qinqiao Xiong2School of Information Technology, Jiangxi University of Finance & Economics, Nanchang 330013, ChinaSchool of Information Technology, Jiangxi University of Finance & Economics, Nanchang 330013, ChinaSchool of Information Technology, Jiangxi University of Finance & Economics, Nanchang 330013, ChinaRecommender system is a very efficient way to deal with the problem of information overload for online users. In recent years, network based recommendation algorithms have demonstrated much better performance than the standard collaborative filtering methods. However, most of network based algorithms do not give a high enough weight to the influence of the target user’s nearest neighbors in the resource diffusion process, while a user or an object with high degree will obtain larger influence in the standard mass diffusion algorithm. In this paper, we propose a novel preferential diffusion recommendation algorithm considering the significance of the target user’s nearest neighbors and evaluate it in the three real-world data sets: MovieLens 100k, MovieLens 1M, and Epinions. Experiments results demonstrate that the novel preferential diffusion recommendation algorithm based on user’s nearest neighbors can significantly improve the recommendation accuracy and diversity.http://dx.doi.org/10.1155/2017/1386461 |
| spellingShingle | Fuguo Zhang Yehuan Liu Qinqiao Xiong A Novel Preferential Diffusion Recommendation Algorithm Based on User’s Nearest Neighbors International Journal of Digital Multimedia Broadcasting |
| title | A Novel Preferential Diffusion Recommendation Algorithm Based on User’s Nearest Neighbors |
| title_full | A Novel Preferential Diffusion Recommendation Algorithm Based on User’s Nearest Neighbors |
| title_fullStr | A Novel Preferential Diffusion Recommendation Algorithm Based on User’s Nearest Neighbors |
| title_full_unstemmed | A Novel Preferential Diffusion Recommendation Algorithm Based on User’s Nearest Neighbors |
| title_short | A Novel Preferential Diffusion Recommendation Algorithm Based on User’s Nearest Neighbors |
| title_sort | novel preferential diffusion recommendation algorithm based on user s nearest neighbors |
| url | http://dx.doi.org/10.1155/2017/1386461 |
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