Article recommendation method and device, equipment, medium and program product

The invention provides an article recommendation method which can be applied to the technical field of big data and the technical field of financial science and technology. The article recommendation method comprises the steps of obtaining historical behavior data of a user, the historical behavior data comprising different historical behaviors associated with a plurality of articles; based on the historical behavior data of the user, determining target weights of different historical behaviors associated with the plurality of articles by adopting a predetermined genetic algorithm; according to the historical behavior data of the user and the target weights of different historical behaviors associated with the plurality of articles, constructing a score matrix composed of scores of the plurality of articles; based on the scoring matrix, a predetermined similarity algorithm is adopted, and similarities among the multiple articles are calculated; and generating a recommendation result based on the similarity am