基于人工智能的智能推荐系统研究的毕业论文

摘要：随着互联网的发展，人们能够获取的信息越来越多，但是信息过载的问题也越来越突出。在这种情况下，智能推荐系统成为了解决信息过载的有效手段。人工智能的发展为智能推荐系统的研究提供了新的思路和方法。本论文主要研究基于人工智能的智能推荐系统，包括其概念、发展历程、应用场景、算法原理等方面的内容。同时，本论文还针对智能推荐系统存在的问题，提出了相关的改进措施，以提高其推荐效果和用户体验。

关键词：人工智能；智能推荐系统；算法原理；改进措施

Abstract: With the development of the Internet, people can access more and more information, but the problem of information overload is becoming more and more prominent. In this case, intelligent recommendation systems have become an effective means of solving information overload. The development of artificial intelligence provides new ideas and methods for the research of intelligent recommendation systems. This paper mainly studies the intelligent recommendation system based on artificial intelligence, including its concept, development process, application scenarios, algorithm principles and other aspects. At the same time, this paper also proposes relevant improvement measures for the problems existing in intelligent recommendation systems, so as to improve their recommendation effect and user experience.

Keywords: artificial intelligence; intelligent recommendation system; algorithm principle; improvement measur