Partner recommendation method based on future common neighbor similarity

The embodiment of the invention provides a partner recommendation method based on future common neighbor similarity. The partner recommendation method comprises the following steps: acquiring enterprises in a supply chain network and a cooperation relationship between the enterprises; establishing a...

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Bibliographische Detailangaben
Hauptverfasser:	LI GEYAO, JU CHUNHUA, WANG JUECHU, BAO FUGUANG, YING YUELIANG, SHEN ZHONGHUA, LI CHUANG, MAO LINGHAO
Format:	Patent
Sprache:	chi ; eng
Schlagworte:	CALCULATING COMPUTING COUNTING DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES ELECTRIC DIGITAL DATA PROCESSING PHYSICS SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR
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Beschreibung
Zusammenfassung:	The embodiment of the invention provides a partner recommendation method based on future common neighbor similarity. The partner recommendation method comprises the following steps: acquiring enterprises in a supply chain network and a cooperation relationship between the enterprises; establishing a corresponding node relationship graph; acquiring to-be-recommended nodes needing to recommend partners and related to-be-investigated nodes in the node relation graph and searching future common neighbor nodes for through the to-be-recommended nodes and the to-be-investigated nodes; calculating connection conditions and similarities between the to-be-recommended node and all nodes and between the to-be-investigated node and all the nodes, wherein all the nodes comprise the to-be-recommended node, the to-be-investigated node and a future common neighbor node; and calculating a final cooperation score between the to-be-recommended node and the to-be-investigated node according to the connection condition and the sim