Research On SMS Filtering Algorithm Based On User Personality

DOI

10.2991/jimec-17.2017.15How to use a DOI?

Keywords

User feature modeling; Personalise; SMS filtering

Abstract

In this paper, a short message filtering model based on the user characteristic model is proposed to solve the problem that the short message filter model is not constructed from the user's needs. The model analyzes the information of App category and user's existing SMS in the user's mobile phone, and carries on the user characteristic modeling. And uses the obtained user feature model to optimize the SMS filtering algorithm, and then obtains the user-based SMS filtering model, which can achieve the accuracy of SMS filtering, but also meet the user's personalized SMS filtering needs. Finally, the rationality and validity of the model are proved by experiments.

Copyright

© 2017, 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  - Wenli Gong
AU  - Guojiang Fu
PY  - 2017/10
DA  - 2017/10
TI  - Research On SMS Filtering Algorithm Based On User Personality
BT  - Proceedings of the 2017 2nd Joint International Information Technology, Mechanical and Electronic Engineering Conference (JIMEC 2017)
PB  - Atlantis Press
SP  - 73
EP  - 76
SN  - 2352-538X
UR  - https://doi.org/10.2991/jimec-17.2017.15
DO  - 10.2991/jimec-17.2017.15
ID  - Gong2017/10
ER  -