ISPREC++: Learning Edge Type Importance in Network-Oriented Paper Recommendation

With the spread of the Internet and the possibility of online access to articles, a wide range of scientific articles are available to researchers, while finding relevant articles among this substantial number of articles turns out to be a real dilemma. To solve this problem, several scientific pape...

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Hlavní autoři:	Elaheh Jafari, Bita Shams, Saman Haratizadeh
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Amirkabir University of Technology 2022-12-01
Edice:	AUT Journal of Modeling and Simulation
Témata:	heterogeneous information network random-walk with restart bayesian personalized ranking paper recommendation recommender systems
On-line přístup:	https://miscj.aut.ac.ir/article_5152_884d95c8447a6e41ce3458044134fc7e.pdf
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!