A Flexible Two-Tower Model for Item Cold-Start Recommendation
One of the main challenges in recommendation system is the item cold-start problem, where absence of historical interactions or ratings in new items makes recommendation difficult. In order to solve the cold-start problem, hybrid neural network models using meta data of the item as a feature is wide...
Sparad:
| Huvudupphov: | , |
|---|---|
| Materialtyp: | Artigo |
| Språk: | Inglês |
| Utgiven: |
IEEE
2023-01-01
|
| Serie: | IEEE Access |
| Ämnen: | |
| Länkar: | https://ieeexplore.ieee.org/document/10373857/ |
| Taggar: |
Inga taggar, Lägg till första taggen!
|