With the rapid development of information technology, social media has been widely used, and Internet information has been exploded, and consumers may experience information overload. Recommender systems using the social recommendation method that integrates social relationship information can provide users with target information that meets their needs. However, most of the existing methods only rely on the user’s ordinary friends to make recommendations, neglecting another influential group, the opinion leaders. In this study, we propose a new social recommendation method based on opinion leaders. The proposed method assumes that the influence of the opinion leader on the user is much greater than that of the user’s ordinary friends. The experimental results on two real datasets show that the proposed method not only has a better recommendation effect than the state-of-the-art recommendation algorithms, but also has a good performance in the cases of cold-start users.

随着信息技术的飞速发展，社交媒体得到了广泛的应用，互联网信息爆炸性增长，消费者可能会遇到信息过载的情况。使用整合社交关系信息的社交推荐方法的推荐系统可以为用户提供满足其需求的目标信息。但是，大多数现有方法仅依靠用户的普通朋友来提出建议，而忽略了另一个有影响力的群体，即意见领袖。在这项研究中，我们提出了一种新的基于意见领袖的社会推荐方法。所提出的方法假设意见领袖对用户的影响远大于用户的普通朋友。