Information Filtering via Biased Random Walk on Coupled Social Network
The recommender systems have advanced a great deal in the past two decades. However, most researchers focus their attentions on mining the similarities among users or objects in recommender systems and overlook the social influence which plays an important role in users’ purchase process. In this pa...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2014-01-01
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| Series: | The Scientific World Journal |
| Online Access: | http://dx.doi.org/10.1155/2014/829137 |
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| _version_ | 1832561303696179200 |
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| author | Da-Cheng Nie Zi-Ke Zhang Qiang Dong Chongjing Sun Yan Fu |
| author_facet | Da-Cheng Nie Zi-Ke Zhang Qiang Dong Chongjing Sun Yan Fu |
| author_sort | Da-Cheng Nie |
| collection | DOAJ |
| description | The recommender systems have advanced a great deal in the past two decades. However, most researchers focus their attentions on mining the similarities among users or objects in recommender systems and overlook the social influence which plays an important role in users’ purchase process. In this paper, we design a biased random walk algorithm on coupled social networks which gives recommendation results based on both social interests and users’ preference. Numerical analyses on two real data sets, Epinions and Friendfeed, demonstrate the improvement of recommendation performance by taking social interests into account, and experimental results show that our algorithm can alleviate the user cold-start problem more effectively compared with the mass diffusion and user-based collaborative filtering methods. |
| format | Article |
| id | doaj-art-9b25eeadfe434ae4b8b1deda0b0d7f3b |
| institution | Kabale University |
| issn | 2356-6140 1537-744X |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | The Scientific World Journal |
| spelling | doaj-art-9b25eeadfe434ae4b8b1deda0b0d7f3b2025-02-03T01:25:28ZengWileyThe Scientific World Journal2356-61401537-744X2014-01-01201410.1155/2014/829137829137Information Filtering via Biased Random Walk on Coupled Social NetworkDa-Cheng Nie0Zi-Ke Zhang1Qiang Dong2Chongjing Sun3Yan Fu4Web Sciences Center, School of Computer Science & Engineering, University of Electronic Science and Technology of China, Chengdu 610054, ChinaInstitute of Information Economy, Hangzhou Normal University, Hangzhou 311121, ChinaWeb Sciences Center, School of Computer Science & Engineering, University of Electronic Science and Technology of China, Chengdu 610054, ChinaWeb Sciences Center, School of Computer Science & Engineering, University of Electronic Science and Technology of China, Chengdu 610054, ChinaWeb Sciences Center, School of Computer Science & Engineering, University of Electronic Science and Technology of China, Chengdu 610054, ChinaThe recommender systems have advanced a great deal in the past two decades. However, most researchers focus their attentions on mining the similarities among users or objects in recommender systems and overlook the social influence which plays an important role in users’ purchase process. In this paper, we design a biased random walk algorithm on coupled social networks which gives recommendation results based on both social interests and users’ preference. Numerical analyses on two real data sets, Epinions and Friendfeed, demonstrate the improvement of recommendation performance by taking social interests into account, and experimental results show that our algorithm can alleviate the user cold-start problem more effectively compared with the mass diffusion and user-based collaborative filtering methods.http://dx.doi.org/10.1155/2014/829137 |
| spellingShingle | Da-Cheng Nie Zi-Ke Zhang Qiang Dong Chongjing Sun Yan Fu Information Filtering via Biased Random Walk on Coupled Social Network The Scientific World Journal |
| title | Information Filtering via Biased Random Walk on Coupled Social Network |
| title_full | Information Filtering via Biased Random Walk on Coupled Social Network |
| title_fullStr | Information Filtering via Biased Random Walk on Coupled Social Network |
| title_full_unstemmed | Information Filtering via Biased Random Walk on Coupled Social Network |
| title_short | Information Filtering via Biased Random Walk on Coupled Social Network |
| title_sort | information filtering via biased random walk on coupled social network |
| url | http://dx.doi.org/10.1155/2014/829137 |
| work_keys_str_mv | AT dachengnie informationfilteringviabiasedrandomwalkoncoupledsocialnetwork AT zikezhang informationfilteringviabiasedrandomwalkoncoupledsocialnetwork AT qiangdong informationfilteringviabiasedrandomwalkoncoupledsocialnetwork AT chongjingsun informationfilteringviabiasedrandomwalkoncoupledsocialnetwork AT yanfu informationfilteringviabiasedrandomwalkoncoupledsocialnetwork |