Alleviating Cold Start in the EOSC Recommendations: Extended Page Rank Algorithm

Recommender systems are becoming crucial in academia, where the number of available scientific resources is continuously increasing. One of the main challenges of such systems is a cold start problem, which often occurs when new users have no preference for any items or recommend new items that no c...

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Hlavní autoři:	Marcin Wolski, Antoni Klorek, Anna Kobusinska
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	IEEE 2024-01-01
Edice:	IEEE Access
Témata:	Academia cold start graph-based recommendations recommendation system scholarly data
On-line přístup:	https://ieeexplore.ieee.org/document/10649646/
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