Name
Title | ||
|---|---|---|
Applying artificial immune systems to collaborative filtering for movie recommendation |
Abstract | ||
|---|---|---|
Collaborative filtering is a widely used recommendation technique and many collaborative filtering techniques have been developed, each with its own merits and drawbacks. In this study, we apply an artificial immune network to collaborative filtering for movie recommendation. We propose new formulas in calculating the affinity between an antigen and an antibody and the affinity of an antigen to an immune network. In addition, a modified similarity estimation formula based on the Pearson correlation coefficient is also developed. A series of experiments based on MovieLens and EachMovie datasets are conducted, and the results are very encouraging. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1016/j.aei.2015.04.005 | Advanced Engineering Informatics |
Keywords | Field | DocType |
Recommendation system,Collaborative filtering,Artificial immune system | Recommender system,Data mining,Artificial immune system,Pearson product-moment correlation coefficient,Immune network,Collaborative filtering,Computer science,MovieLens | Journal |
Volume | Issue | ISSN |
29 | 4 | 1474-0346 |
Citations | PageRank | References |
21 | 0.63 | 19 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Meng-Hui Chen | 1 | 48 | 2.90 |
| Chin Hung Teng | 2 | 26 | 1.87 |
| Pei-Chann Chang | 3 | 1752 | 109.32 |