POI recommendation method and device based on hypergraph embedding

The invention discloses a POI recommendation method and device based on hypergraph embedding, and the method comprises the steps: receiving a historical track and a candidate POI list of a user, and mapping each node to a low-dimensional vector space through a hypergraph embedding method, so as to e...

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Hauptverfasser: LI SHUDONG, LIU WENBIN, CHEN JIAWEI, WU XIAOBO, LIU ZICHEN, HUANG QIANLAN, LU DANNA
Format: Patent
Sprache:chi ; eng
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Zusammenfassung:The invention discloses a POI recommendation method and device based on hypergraph embedding, and the method comprises the steps: receiving a historical track and a candidate POI list of a user, and mapping each node to a low-dimensional vector space through a hypergraph embedding method, so as to enable the similarity between different nodes to be calculated through the distance or cosine similarity between vectors; a space-time attention network is adopted to represent the relationship between the user behavior pattern and the POI, and the space-time attention network comprises two self-attention mechanisms and a bidirectional attention mechanism; and generating a recommendation result according to information learned by the space-time attention network. According to the method, the hypergraph embedding algorithm is used for regarding the sign-in information of the users as the hypergraph, random walk learning is carried out between the users to embed the vectors, the relevance between the sign-in informati