Abstract
At present, the campus mutual aid system in colleges and universities is increasingly prevalent, but generally, such systems lack the function of customized friend recommendations. Based on the LFM algorithm and the cosine similarity algorithm, a friend recommendation algorithm, LFM-C, is proposed in this paper. Taking the current students and alumni as data sets, this algorithm establishes connections between current students and alumni and effectively recommends the alumni who graduated from the majors at the universities that are of interest to the current students. The algorithm gives full play to the role of alumni as a mentor and helps students who are preparing to pursue postgraduate studies. Experiments show that the LFM-C algorithm is more accurate and efficient than User-CF.
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Han, L. (2022). LFM-C: A Friend Recommendation Algorithm for Campus Mutual Aid System. In: Zhao, X., Yang, S., Wang, X., Li, J. (eds) Web Information Systems and Applications. WISA 2022. Lecture Notes in Computer Science, vol 13579. Springer, Cham. https://doi.org/10.1007/978-3-031-20309-1_50
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DOI: https://doi.org/10.1007/978-3-031-20309-1_50
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