International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 176 - Number 40 |
Year of Publication: 2020 |
Authors: Anurag Singh, Subhadra Shaw |
10.5120/ijca2020920510 |
Anurag Singh, Subhadra Shaw . Optimizing Approach of Recommendation System using Web Usage Mining and Social Media for E-commerce. International Journal of Computer Applications. 176, 40 ( Jul 2020), 34-38. DOI=10.5120/ijca2020920510
The recommendation system is very popular and plays an important role in the information system or web pages these days. The recommendation system can personalize its website with persons who suggest things to the user's needs. In the field of recommendation systems, the performance of all the recommendation algorithms is limited and each has its strengths and weaknesses, so much attention is paid to hybrid recommendation algorithms. In the proposed work, prediction using collaborative filtering, socio-demographic methodology, and sentiment analysis are integrated into a weighted system that is consistent with producing a single recommendation. This optimization approach improves the effectiveness of the recommendation process.