Interactive social recommendation

• Main Authors: WANG, Xin, HOI, Steven C. H., LIU, Chenghao, ESTER, Martin
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2017
• Subjects: Customer retention; Friendship networks; Personalizations; Real-world datasets; Recommendation accuracy; Research topics; Social information; State-of-the-art algorithms; Artificial Intelligence and Robotics; Databases and Information Systems; Social Media
• Online Access: https://ink.library.smu.edu.sg/sis_research/3973; https://ink.library.smu.edu.sg/context/sis_research/article/4975/viewcontent/5._Interactive_Social_Recommendation__CIKM2017_.pdf
• Institution: Singapore Management University

Social recommendation has been an active research topic over the last decade, based on the assumption that social information from friendship networks is beneficial for improving recommendation accuracy, especially when dealing with cold-start users who lack sufficient past behavior information for...