An Agricultural Information Recommendation Model Based on Collaborative Filtering

DOI

10.2991/ameii-15.2015.343How to use a DOI?

Keywords

Agricultural Information; Recommendation System; Collaborative Filtering; Evaluation Matrix; Similarity Calculation.

Abstract

With the rapid development of internet, all kinds of information increases exponentially. It is different for users to find their requisite information because of the widely distributed information of internet. In ordered to provide timely, conveniently and efficiently to farmers the interested agricultural information and knowledge, this paper proposes an agricultural information recommendation system model based on collaborative filtering. The model uses terms clustering to construct user evaluation matrix of no-absence, and standardizes rating before evaluation prediction in accordance with farmer behaviour difference. Experiment shows that recommendation model has good effect, and realizes information recommendation at a certain extent.

Copyright

© 2015, 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  - Shuilong Zou
PY  - 2015/04
DA  - 2015/04
TI  - An Agricultural Information Recommendation Model Based on Collaborative Filtering
BT  - Proceedings of the International Conference on Advances in Mechanical Engineering and Industrial Informatics
PB  - Atlantis Press
SP  - 1850
EP  - 1854
SN  - 2352-5401
UR  - https://doi.org/10.2991/ameii-15.2015.343
DO  - 10.2991/ameii-15.2015.343
ID  - Zou2015/04
ER  -