title,doi,url,abstract,journal,publication_year,pmid,arxiv
Location Based Agricultural Product Recommendation System Using Novel KNN Algorithm, https://doi.org/10.32628/CSEIT1952224, https://ijsrcseit.com/CSEIT1952224, It is evident that the need for personalized product recommendation is much needed these days. Generally product recommender systems are implemented in web servers that make use of data implicitly obtained as results of the collection of Web browsing patterns of the users. Here the project's motive is to provide location-based agricultural product recommendation system using a novel KNN algorithm by ensuring effective communication and transparency in agriculture trade marketing among buyers and sellers (farmers). It helps the farmer to fix up the market price by preventing the rue pricing of their products. The farmer can post their products into the application with price and other details like a timestamp of harvesting color size the absence of pest freshness ripeness etc. Based on the location the distance between the seller and buyer is calculated using great circle distance. An improved Novel KNN algorithm is used to find the K Nearest Seller by calculating the distance between the sellers and buyer using a Euclidean distance metric. The details posted by the farmers and buyers are stored and updated in a database dynamically. The recommender system recommends nearest sellers and their agricultural products based on buyer interest. The performance of the system is analyzed in terms of accuracy and mean absolute error., International Journal of Scientific Research in Computer Science Engineering and Information Technology, 2019, CSEIT1952224