Research on Recommender System based on Social Trust

DOI

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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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  - 10.2991/sser-18.2018.74
ID  - Ren2018/05
ER  -