Recommender system is an emerging field of research with the advent of World Wide Web and E-commerce. Recently, an increasing usage of social networking websites plausibly has a great impact on diverse facets of our lives in different ways. Initially, researchers used to consider recommender system and social networks as independent topics. With the passage of time, they realized the importance of merging the two to produce enhanced recommendations. The integration of recommender system with social networks produces a new system termed as social recommender system. In this study, we initially describe the concept of recommender system and social recommender system and then investigates different features of social networks that play a major role in generating effective recommendations. Each feature plays an essential role in giving good recommendations and resolving the issues of traditional recommender systems. Lastly, this paper also discusses future work in this area that can aid in enriching the quality of social recommender systems.

中文翻译：

---

社交推荐系统特征研究

随着万维网和电子商务的出现，推荐系统是一个新兴的研究领域。最近，越来越多地使用社交网站似乎以不同的方式对我们生活的各个方面产生了巨大的影响。最初，研究人员过去常常将推荐系统和社交网络视为独立的主题。随着时间的推移，他们意识到将两者合并以产生增强建议的重要性。推荐系统与社交网络的集成产生了一个新的系统，称为社交推荐系统。在这项研究中，我们首先描述了推荐系统和社交推荐系统的概念，然后研究了社交网络的不同特征，这些特征在产生有效推荐方面发挥着重要作用。每个特征在提供好的推荐和解决传统推荐系统的问题方面都起着至关重要的作用。最后，本文还讨论了该领域的未来工作，这些工作有助于丰富社交推荐系统的质量。