[1]WANG Daling,FENG Shi,ZHANG Yifei,et al.Study on the recommendations of multi-modal and multi-level resources in social media[J].CAAI Transactions on Intelligent Systems,2014,9(3):265-275.[doi:10.3969/j.issn.1673-4785.201403068]
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Study on the recommendations of multi-modal and multi-level resources in social media

CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume: 9 Number of periods: 2014 3 Page number: 265-275 Column: 学术论文—智能系统 Public date: 2014-06-25
Title:
Study on the recommendations of multi-modal and multi-level resources in social media
Author(s):
WANG Daling1; 2;  FENG Shi1; 2;  ZHANG Yifei1; 2;  YU Ge1; 2
1. School of Information Science and Engineering, Northeastern University, Shenyang 110819, China;
2. Key Laboratory of Medical Image Computing (Northeastern University), Ministry of Education, Shenyang 110819, China
Keywords:
social media; recommendation; multi-modal information; multi-level resource; user community
CLC:
TP301
DOI:
10.3969/j.issn.1673-4785.201403068
Abstract:
The multi-modal and multi-level information resources and user communities based on various relationships in social media provide a broader space for recommenders to analyze and select the resources, but at the same time more problems and challenges develop. In this paper, the relationships between users and resources, and the characteristics of resource recommendations in current social media are analyzed. Related work is surveyed from social media resource recommendations as well as its corresponding support techniques, which can be summarized as follows: more complex relationships among users formed by changes of user roles, multi-modal social media resource expressions, and social media resource recommendations that satisfy the requirements of multi-level users. Finally, further research directions in multi-modal and multi-level resource recommendations are proposed.
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