Common situation strategy recommendation method and device suitable for virtual reality, equipment and medium

Common situation strategy recommendation method and device suitable for virtual reality, equipment and medium

The invention relates to the technical field of artificial intelligence, and discloses a common situation strategy recommendation method and device suitable for virtual reality, equipment and a medium, and the method comprises the steps: obtaining a video data set and a virtual space behavior data s...

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Bibliographische Detailangaben
Hauptverfasser: LIANG YANI, CHEN MIN, MAN YUANYUAN, DENG XINGYI, JING LEI, LIU XIANGZI, WANG XIAOFANG, OU GUANGLI, PENG YUE, DAI CHENXI, XU WENJIA, WANG XUGEN, NING XIAXIA, HE WEIKANG
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
IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
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 invention relates to the technical field of artificial intelligence, and discloses a common situation strategy recommendation method and device suitable for virtual reality, equipment and a medium, and the method comprises the steps: obtaining a video data set and a virtual space behavior data set of a plurality of target customers in a target virtual space at the i-th moment; performing emotion classification prediction according to each piece of video data in the video data set to obtain a first emotion vector set; performing emotion classification prediction according to each piece of virtual space behavior data in the virtual space behavior data set to obtain a second emotion vector set; performing data fitting on each target customer according to the first emotion vector set and the second emotion vector set to obtain a target emotion vector set; obtaining target customer satisfaction according to the target emotion vector set; and obtaining an estrus sharing strategy recommendation result according