A Mobile Recommendation Algorithm based on Location Information and Collaborative Filtering

DOI

10.2991/icmeit-19.2019.105How to use a DOI?

Keywords

Location Information, Mobile Recommendation, Collaborative Filtering.

Abstract

Aiming to the problems of information overload and low recommendation quality for O2O electricity field, this paper has put forward to a mobile recommendation algorithm based on location information and collaborative filter, which introduces the location information in mobile recommendation algorithm, and also improved the traditional collaborative filer. The algorithm can reduce the recommended amount of calculation in accordance with selecting the recommendation item, so as to optimize the recommendation effect and improve shopping experience of the mobile users. The experiment results show that the algorithm has better advantages than the traditional recommendation algorithm in improvement recommendation quality.

Copyright

© 2019, 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
PY  - 2019/04
DA  - 2019/04
TI  - A Mobile Recommendation Algorithm based on Location Information and Collaborative Filtering
BT  - Proceedings of the 3rd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2019)
PB  - Atlantis Press
SP  - 661
EP  - 664
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmeit-19.2019.105
DO  - 10.2991/icmeit-19.2019.105
ID  - Li2019/04
ER  -