• priya saini
• Harjinder Kaur

Today many distinct products exist along with the configuration. Technology is advancing as well, proposed system deals with recommender system based on KNN clustering techniques. KNN along with filtering mechanism is introduced as a base mechanism to predict most likely products to be promoted through the recommender system. Simulation results indicates that the C-KNN(Content based K nearest neighbour technique is better than individual approaches of KNN and content based filtering. The result is specified in the form of F-Score, execution time, specificity, sensitivity and classification accuracy. The mechanism employed in the proposed system shows the improvement in the result by 20 to 30% proving the worth of the study.

Configuration, Recommender system, KNN, C-KNN

"Green Product Promotion using mobile recommender system with C-KNN approach", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 9, page no.a661-a667, September-2021, Available :http://www.jetir.org/papers/JETIR2109093.pdf

"Green Product Promotion using mobile recommender system with C-KNN approach", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 9, page no. ppa661-a667, September-2021, Available at : http://www.jetir.org/papers/JETIR2109093.pdf