Name
Abstract | ||
|---|---|---|
Item-based Collaborative Filtering (ICF) is wildly used recommendation method. Under the assumption that a user tends to choose an item similar to what she has interacted before, ICF uses items that a user has interacted to learn a user’s profile, and then makes recommendations by calculating the similarity between a target item and the user’s profile. Therefore, the method of learning item repres... |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/WIIAT50758.2020.00018 | 2020 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT) |
Keywords | DocType | ISBN |
Convolution,Fuses,Collaborative filtering,Collaboration,Information filters,Graph neural networks,Bipartite graph | Conference | 978-1-6654-1924-6 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kai Deng | 1 | 0 | 0.68 |
| Jiajin Huang | 2 | 69 | 15.70 |
| Jin Qin | 3 | 0 | 1.35 |