Name
Abstract | ||
|---|---|---|
Aiming at solving the problem of data sparsity and ignorance of user interest drift in traditional collaborative filtering recommendation, this paper propose a novel collaborative filtering algorithm by combing the automatic feature extraction capability of stacked denoising autoencoder (SDAE) and the ability of real-time recommendation and rapid processing of big data of time mean model (TMM). Ti... |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/CBD51900.2020.00032 | 2020 Eighth International Conference on Advanced Cloud and Big Data (CBD) |
Keywords | DocType | ISSN |
recommender system,collaborative filtering,sparse data,stacked denoising autoencoder,time mean model | Conference | 2573-301X |
ISBN | Citations | PageRank |
978-1-6654-2313-7 | 0 | 0.34 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jingyu Sun | 1 | 0 | 1.01 |
| Zefei Ning | 2 | 0 | 0.68 |
| Cong Wang | 3 | 0 | 0.34 |
| Xinjuan Wang | 4 | 0 | 0.68 |