Abstract
Recent years have seen exponential growth of microblog which provides users with a new communication and information sharing platform. Some recommendation approaches have been proposed by leveraging the social relationships in microblog based on the principle of homophily to improve the accuracy of recommendation. To prove the feasibility of users social relationships as the bases of recommendation in microblog, we investigate the correlation of strength of social relationship and user interest similarity in microblog by using real-world data set. We observe that strength of social relationship shows strong positive correlation with user interest similarity in microblog. We believe our investigation presents substantial impact for social recommendation research in microblog and will benefit future research in both recommender systems and other related social implications.
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Yu, Y., Mo, L. (2015). Investigating Correlation Between Strength of Social Relationship and Interest Similarity. In: Thai, M., Nguyen, N., Shen, H. (eds) Computational Social Networks. CSoNet 2015. Lecture Notes in Computer Science(), vol 9197. Springer, Cham. https://doi.org/10.1007/978-3-319-21786-4_15
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DOI: https://doi.org/10.1007/978-3-319-21786-4_15
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