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.
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Santosh Kumar, M.B., Balakrishnan, K. (2019). Development of a Model Recommender System for Agriculture Using Apriori Algorithm. In: Mallick, P., Balas, V., Bhoi, A., Zobaa, A. (eds) Cognitive Informatics and Soft Computing. Advances in Intelligent Systems and Computing, vol 768. Springer, Singapore. https://doi.org/10.1007/978-981-13-0617-4_15
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DOI: https://doi.org/10.1007/978-981-13-0617-4_15
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