A Hybrid Approach for Performing Accurate prediction of products using comments in social media

Aanchal gupta, Amit chabbra

Page No: 71-79

DOI: 10.86493/VEREDAS.2023/V13I11/10

Today many distinct products exists along with the configuration. Technology is advancing as well, proposed system deals with promoter 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 promoter 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.

Citations

APA: Aanchal gupta, Amit chabbra (2025). A Hybrid Approach for Performing Accurate prediction of products using comments in social media. DOI: 10.86493/VEREDAS.2023/V13I11/10

AMA: Aanchal gupta, Amit chabbra. A Hybrid Approach for Performing Accurate prediction of products using comments in social media. 2025. DOI: 10.86493/VEREDAS.2023/V13I11/10

Chicago: Aanchal gupta, Amit chabbra. "A Hybrid Approach for Performing Accurate prediction of products using comments in social media." Published 2025. DOI: 10.86493/VEREDAS.2023/V13I11/10

IEEE: Aanchal gupta, Amit chabbra, "A Hybrid Approach for Performing Accurate prediction of products using comments in social media," 2025, DOI: 10.86493/VEREDAS.2023/V13I11/10

ISNAD: Aanchal gupta, Amit chabbra. "A Hybrid Approach for Performing Accurate prediction of products using comments in social media." DOI: 10.86493/VEREDAS.2023/V13I11/10

MLA: Aanchal gupta, Amit chabbra. "A Hybrid Approach for Performing Accurate prediction of products using comments in social media." 2025, DOI: 10.86493/VEREDAS.2023/V13I11/10