Article recommendation method and electronic equipment

The invention provides an article recommendation method and electronic equipment, and relates to the technical field of artificial intelligence. According to the method, the recommendation value of each article in to-be-recommended articles can be obtained through word vectors corresponding to keywords of a title and keywords of a body of each article in the to-be-recommended articles and word vectors corresponding to keywords of a title and keywords of a body in an article clicked by a user, and then an article recommendation list can be determined; and the articles in the article recommendation list are recommended to the user, so that the user can efficiently obtain the required information. 本发明提供了一种文章推荐方法及电子设备，涉及人工智能技术领域。该方法可以通过由待推荐的文章中每篇文章的标题的关键词和正文的关键词对应的词向量，以及用户已点击的文章中标题的关键词和正文的关键词对应的词向量，得到待推荐的文章中每篇文章的推荐值，进而可以确定出文章推荐列表，并向用户推荐该文章推荐列表中的文章，由此使得用户可以高效的获取到其所需的信息。