Social Network-based Recommendation : A Graph Random Walk Kernel Approach
Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
Author(s)
Related Research Unit(s)
Detail(s)
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 12th ACM/IEEE-CS joint conference on Digital Libraries |
| Publisher | Association for Computing Machinery (ACM) |
| Pages | 409-410 |
| ISBN (print) | 9781450311540 |
| Publication status | Published - Jun 2012 |
Conference
| Title | 12th ACM/IEEE-CS Joint Conference on Digital Libraries, JCDL '12 |
|---|---|
| Place | United States |
| City | Washington, DC |
| Period | 10 - 14 June 2012 |
Link(s)
Abstract
Traditional recommender system research often explores customer, product, and transaction information in providing recommendations. Social relationships in social networks are related to individuals' preferences. This study investigates the product recommendation problem based solely on people's social network information. Taking a kernel-based approach, we capture consumer social influence similarities into a graph random walk kernel and build SVR models to predict consumer opinions. In experiments on a dataset from a movie review website, our proposed model outperforms trust-based models and state-of-the-art graph kernels.
Research Area(s)
- graph kernel, random walk, recommendation, social network
Citation Format(s)
Social Network-based Recommendation: A Graph Random Walk Kernel Approach. / Li, Xin; Su, Xin; Wang, Mengyue.
Proceedings of the 12th ACM/IEEE-CS joint conference on Digital Libraries. Association for Computing Machinery (ACM), 2012. p. 409-410.
Proceedings of the 12th ACM/IEEE-CS joint conference on Digital Libraries. Association for Computing Machinery (ACM), 2012. p. 409-410.
Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
