Research on Recommender System based on Social Trust
- 10.2991/sser-18.2018.74How to use a DOI?
- Recommender Systems; Personalized Recommendation Algorithm; Social Trust
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.
- © 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 - 10.2991/sser-18.2018.74 ID - Ren2018/05 ER -