Recommender Systems for Improving Personalised Research Assistance and Literature Discovery
ABSTRACT Recommender systems play a crucial role in supporting scholarly research by helping researchers navigate the rapidly growing volume of academic literature. However, most of the existing academic recommender systems suffer from limitations including over‐dependency on keyword matching, weak...
Enregistré dans:
| Auteurs principaux: | , , , |
|---|---|
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
Wiley
2026-04-01
|
| Collection: | Engineering Reports |
| Sujets: | |
| Accès en ligne: | https://doi.org/10.1002/eng2.70714 |
| Tags: |
Pas de tags, Soyez le premier à ajouter un tag!
|