Periodical recommendation method based on multi-granularity heterogeneous attribute graph comparative learning

The invention discloses a journal recommendation method based on multi-granularity heterogeneous attribute graph comparative learning, and relates to the technical field of data analysis, and the journal recommendation method comprises the following steps: data processing, multi-granularity semantic...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	ZHANG XIAO, LIANG YU, ZHANG JIELIN, LI YING, SUN RUIHAN, DU WEI
Format:	Patent
Sprache:	chi ; eng
Schlagworte:	CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING ELECTRIC DIGITAL DATA PROCESSING PHYSICS
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