A Personalized Recommendation Model Based on Users' Information Behavior

DOI

10.2991/mmebc-16.2016.254How to use a DOI?

Keywords

Network Users, Information Behavior, Personalized Recommendation.

Abstract

By collecting and analyzing the users' information behavior, the users' real interest can be obtained, and the recommendation of users' need can be generated. This paper explores the basic concept and the related technology of personalized recommendation. On that basis, this paper proposes a personalized recommendation model based on users' information behavior. The experiment shows that this model has some advantages in the accuracy, the stability and the efficiency of recommendation.

Copyright

© 2016, 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  - Suming Li
AU  - Xianqin Li
PY  - 2016/06
DA  - 2016/06
TI  - A Personalized Recommendation Model Based on Users' Information Behavior
BT  - Proceedings of the 2016 6th International Conference on Machinery, Materials, Environment, Biotechnology and Computer
PB  - Atlantis Press
SP  - 1248
EP  - 1251
SN  - 2352-5401
UR  - https://doi.org/10.2991/mmebc-16.2016.254
DO  - 10.2991/mmebc-16.2016.254
ID  - Li2016/06
ER  -