Proceedings of the 2018 8th International Conference on Social science and Education Research (SSER 2018)

Research on Recommender System based on Social Trust

Authors
Yi Ren, Cuirong Chi
Corresponding Author
Yi Ren
Available Online May 2018.
DOI
https://doi.org/10.2991/sser-18.2018.74How to use a DOI?
Keywords
Recommender Systems; Personalized Recommendation Algorithm; Social Trust
Abstract

Recommender system has become an effective tool to solve information overload and helps users to make decisions. In order to better improve the quality of personalized recommendation, this paper studies the recommendation algorithms based on social information, such as trust and distrust, then analyses the differences and advantages of the recommender systems which are based on social trust and the traditional. Finally, the future development trend of recommender systems based on social trust is prospected.

Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2018 8th International Conference on Social science and Education Research (SSER 2018)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
May 2018
ISBN
10.2991/sser-18.2018.74
ISSN
2352-5398
DOI
https://doi.org/10.2991/sser-18.2018.74How to use a DOI?
Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Yi Ren
AU  - Cuirong Chi
PY  - 2018/05
DA  - 2018/05
TI  - Research on Recommender System based on Social Trust
BT  - Proceedings of the 2018 8th International Conference on Social science and Education Research (SSER 2018)
PB  - Atlantis Press
SP  - 352
EP  - 356
SN  - 2352-5398
UR  - https://doi.org/10.2991/sser-18.2018.74
DO  - https://doi.org/10.2991/sser-18.2018.74
ID  - Ren2018/05
ER  -