A Mobile Recommendation Algorithm based on Location Information and Collaborative Filtering
Available Online April 2019.
- https://doi.org/10.2991/icmeit-19.2019.105How to use a DOI?
- Location Information, Mobile Recommendation, Collaborative Filtering.
- 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.
- 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 PB - Atlantis Press SP - 661 EP - 664 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 -