Improving recommendation by connecting user behavior in temporal and topological dimensions

The rapid development of Internet provides many high quality data sets for understanding human online behavior patterns. Many analysis tools from complexity science such as complex networks and human dynamics have been applied to study human online activities. However, in most existing works, the to...

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Veröffentlicht in:	Physica A Jg. 585; S. 126378
Hauptverfasser:	Li, Heyang, Zeng, An
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.01.2022
Schlagworte:	Behavioral dynamics Complex networks Power-law distribution Recommendation algorithms Power-law distribution Recommendation algorithms Complex networks Behavioral dynamics
ISSN:	0378-4371, 1873-2119
Online-Zugang:	Volltext
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