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Friend suggestion in social network based on user log
| Content Provider | Scilit |
|---|---|
| Author | Kaviya, R. Vanitha, M. Thaseen, I. Sumaiya Mangaiyarkarasi, R. |
| Copyright Year | 2017 |
| Description | Journal: Iop Conference Series: Materials Science and Engineering Simple friend recommendation algorithms such as similarity, popularity and social aspects is the basic requirement to be explored to methodically form high-performance social friend recommendation. Suggestion of friends is followed. No tags of character were followed. In the proposed system, we use an algorithm for network correlation-based social friend recommendation (NC-based SFR).It includes user activities like where one lives and works. A new friend recommendation method, based on network correlation, by considering the effect of different social roles. To model the correlation between different networks, we develop a method that aligns these networks through important feature selection. We consider by preserving the network structure for a more better recommendations so that it significantly improves the accuracy for better friend-recommendation. |
| Related Links | http://iopscience.iop.org/article/10.1088/1757-899X/263/4/042079/pdf |
| ISSN | 17578981 |
| e-ISSN | 1757899X |
| DOI | 10.1088/1757-899x/263/4/042079 |
| Journal | Iop Conference Series: Materials Science and Engineering |
| Issue Number | 4 |
| Volume Number | 263 |
| Language | English |
| Publisher | IOP Publishing |
| Publisher Date | 2017-11-01 |
| Access Restriction | Open |
| Subject Keyword | Journal: Iop Conference Series: Materials Science and Engineering Friend Recommendation Network Correlation Friend Suggestion |
| Content Type | Text |
| Resource Type | Article |
