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

Research on Recommendation Technology based on Collaborative Filtering

Authors
Yi Ren, Cuirong Chi
Corresponding Author
Yi Ren
Available Online May 2018.
DOI
10.2991/sser-18.2018.115How to use a DOI?
Keywords
Collaborative Filtering; Recommender Systems; Recommendation Algorithms
Abstract

Collaborative filtering is the most widely used technology in recommender systems. Researchers have done a lot of work on how to improve the collaborative filtering technology. However, there are few summaries about collaborative filtering technology which is reviewed in this paper. First of all, the different methods of collaborative filtering technology are studied and analyzed. Secondly, we compare the advantages and disadvantages of different methods. Then, the problems about collaborative filtering algorithm are proposed. Finally, the recommendation algorithms are summarized and some work will be done.

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-18.2018.115
ISSN
2352-5398
DOI
10.2991/sser-18.2018.115How 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 Recommendation Technology based on Collaborative Filtering
BT  - Proceedings of the 2018 8th International Conference on Social science and Education Research (SSER 2018)
PB  - Atlantis Press
SP  - 548
EP  - 552
SN  - 2352-5398
UR  - https://doi.org/10.2991/sser-18.2018.115
DO  - 10.2991/sser-18.2018.115
ID  - Ren2018/05
ER  -