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Development of a Model Recommender System for Agriculture Using Apriori Algorithm

  • M. B. Santosh Kumar
  • Kannan Balakrishnan
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 768)

Abstract

Recommender System (RS) has become very popular recently and being used in variety of areas including movies, music, books and various products. This study focused on the development of a model RS for agriculture (ARS) using Apriori algorithm. Prediction of the Agri-items (vegetables/fruits) can be made and the RS can provide the recommendations of the products which the customers can order. The data obtained for a period of 8 months about the consumption of the various items ordered through the website were used for designing and implementing the RS model. Preprocessing of the data is done followed by dimensionality reduction to make the data more refined. A hybrid web-based RS was modeled using Apriori algorithm with associated rule mining to recommend the various items, that will help the farmers to produce optimally and thus increasing their profit.

Keywords

Data pre-processing Dimensionality reduction Association rule mining Apriori algorithm 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.Division of Information TechnologyCochin University of Science and TechnologyKalamasseryIndia
  2. 2.Department of Computer ApplicationsCochin University of Science and TechnologyKalamasseryIndia

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