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Recommendation Tool Using Collaborative Filtering
ADITYA MANDHARE, SONIYA NEMADE, M.KIRUTHIKA Student, Computer Engineering Department, FCRIT, Vashi, India Student, Computer Engineering Department, FCRIT, Vashi, India Co-ordinator, Computer Engineering Department, FCRIT, Vashi, India
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Abstract: With an increasing need to improve users’ experience on the website, recommendation tools have become an indispensable resource for any e-commerce or social networking website. These tools analyze users’ behaviour on website and their usage pattern, and thus try to predict a user’s likes and dislikes. This is done by employing recommendation algorithms on the available usage data. The results obtained are then compared at different operational thresholds. The recommendations obtained as an output of these tools are then provided to the users, which helps them take better decisions or make better choices
Keywords: Database, collaborative filtering, recommendation system, Item based filtering, person based filtering, Data mining, Knowledge mining.
Keywords: Database, collaborative filtering, recommendation system, Item based filtering, person based filtering, Data mining, Knowledge mining.
How to Cite:
[1] ADITYA MANDHARE, SONIYA NEMADE, M.KIRUTHIKA Student, Computer Engineering Department, FCRIT, Vashi, India Student, Computer Engineering Department, FCRIT, Vashi, India Co-ordinator, Computer Engineering Department, FCRIT, Vashi, India, “Recommendation Tool Using Collaborative Filtering,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE)
This work is licensed under a Creative Commons Attribution 4.0 International License.