@inproceedings{261dbd3f4120416886577139d7e7017f,
title = "A content-aware expert recommendation scheme in social network services",
abstract = "Because a wide range of professionals utilize Social Network Service (SNS), the SNS users have recently required an expert recommendation service to enable users to perform both cooperation and technical communication with experts. A content-boosted collaborative filtering (CBCF) provides various prediction algorithms which support effective recommendations. However, the CBCF cannot calculates the similarity of items (or users) when the calculation condition is not clearly provided. To solve the problem, we propose a content-aware hybrid collaborative filtering scheme for expert recommendation in SNSs. Finally, we show from a performance analysis that our scheme outperforms the existing method in terms of recommendation accuracy.",
keywords = "Collaborative filtering, Content-aware recommendation, Expert recommendation, Social network service",
author = "Shin, \{Young Sung\} and Kim, \{Hyeong Il\} and Chang, \{Jae Woo\}",
note = "Publisher Copyright: {\textcopyright} Springer Science+Business Media Singapore 2016.; 11th International Conference on Future Information Technology, FutureTech 2016 ; Conference date: 20-04-2016 Through 22-04-2016",
year = "2016",
doi = "10.1007/978-981-10-1536-6\_7",
language = "English",
isbn = "9789811015359",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer Verlag",
pages = "45--54",
editor = "Hai Jin and Young-Sik Jeong and Khan, \{Muhammad Khurram\} and Park, \{James J.\}",
booktitle = "Advanced Multimedia and Ubiquitous Engineering - FutureTech and MUE",
}