Proceedings of the 3rd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2019)

A Mobile Recommendation Algorithm based on Location Information and Collaborative Filtering

Authors
Suming Li
Corresponding Author
Suming Li
Available Online April 2019.
DOI
https://doi.org/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.
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This is an open access article distributed under the CC BY-NC license.

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Proceedings
3rd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2019)
Part of series
Advances in Computer Science Research
Publication Date
April 2019
ISBN
978-94-6252-708-9
ISSN
2352-538X
DOI
https://doi.org/10.2991/icmeit-19.2019.105How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Suming Li
PY  - 2019/04
DA  - 2019/04
TI  - A Mobile Recommendation Algorithm based on Location Information and Collaborative Filtering
BT  - 3rd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2019)
PB  - Atlantis Press
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmeit-19.2019.105
DO  - https://doi.org/10.2991/icmeit-19.2019.105
ID  - Li2019/04
ER  -