Autoregressive models for session-based recommendations using set expansion
With the rapid growth of internet technologies, session-based recommendation systems have emerged as a key paradigm in delivering personalized recommendations by capturing users’ dynamic and short-term preferences. Traditional methods predominantly rely on modeling the sequential order of user inter...
| Egile Nagusiak: | , , |
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| Formatua: | Artikulua |
| Hizkuntza: | English |
| Argitaratua: |
PeerJ Inc.
2025-02-01
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| Saila: | PeerJ Computer Science |
| Gaiak: | |
| Sarrera elektronikoa: | https://peerj.com/articles/cs-2734.pdf |