The Application of Visualization in Optimizing Personalized Recommendation Result

DOI

10.2991/jimec-16.2016.27How to use a DOI?

Keywords

visualization; personalized recommendation; user interaction; user experience

Abstract

With the explosive growth of big data, people want more efficient access to their most relevant information. The personalized recommendation system can pick individual interested items and send it to the specific user. However, the traditional recommendation result are generally showed by images or a simple list without any feedback, which is not good for user experience and result optimization. This paper uses the visualization technologies to visualize the recommendation result and provides interactive controls for users. Then the interaction data would be input for the next round of recommendation. In the end, we give a user study to test our optimization effect.

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/).

Download article (PDF)

TY  - CONF
AU  - Dong Qian
AU  - Weiwei Jia
PY  - 2016/10
DA  - 2016/10
TI  - The Application of Visualization in Optimizing Personalized Recommendation Result
BT  - Proceedings of the 2016 Joint International Information Technology, Mechanical and Electronic Engineering
PB  - Atlantis Press
SP  - 163
EP  - 166
SN  - 2352-5401
UR  - https://doi.org/10.2991/jimec-16.2016.27
DO  - 10.2991/jimec-16.2016.27
ID  - Qian2016/10
ER  -