Recommendation method, device and equipment, computer readable storage medium and program product

Abstract

The embodiment of the invention provides a recommendation method and device, equipment, a computer readable storage medium and a program product, and relates to the fields of artificial intelligence, maps and the like, and application scenes include but are not limited to recommendation scenes. The method comprises the following steps: acquiring a target knowledge graph, wherein the target knowledge graph comprises an entity set and a relationship set; based on the entity set and the relationship set, through knowledge graph completion processing, determining a completed entity set and a completed relationship set; determining a feature embedding vector of each entity in the complemented entity set and a feature embedding vector of each relationship in the complemented relationship set; on the basis of the feature embedding vector of each entity, the feature embedding vector of each relationship, the feature embedding vector of a preset target object and the feature embedding vector of each piece of to-be-recommended content in a preset to-be-recommended content set, the click probability of the preset target object for each piece of to-be-recommended content is determined; and based on the click probability of each to-be-recommended content, determining target content recommended to a preset target object.

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