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...
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| Autori principali: | , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
PeerJ Inc.
2025-02-01
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| Serie: | PeerJ Computer Science |
| Soggetti: | |
| Accesso online: | https://peerj.com/articles/cs-2734.pdf |
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