Machine Learning Based Ad-click Prediction System
S. Saraswathi1, Vallidevi Krishnamurthy2, D. Venkata Vara Prasad3, Tarun R K4, S Abhinav5, D. Rushitaa6
1S. Saraswathi, Associate Professor, SSN College of Engineering, Kalavakkam, Chennai, TamilNadu, India
2Vallidevi Krishnamurthy, Associate Professor, SSN College of Engineering, Kalavakkam, Chennai, TamilNadu, India
3D. Venkata Vara Prasad, Professor, Department of CSE, SSN College of Engineering, Kalavakkam, Chennai, TamilNadu, India
4Tarun R K, Under Graduate Students, Department of CSE, SSN College of Engineering, Kalavakkam, Chennai, TamilNadu, India
5S Abhinav, Under Graduate Students, Department of CSE, SSN College of Engineering, Kalavakkam, Chennai, TamilNadu, India
6D. Rushitaa, Under Graduate Students, Department of ECE, SSN College of Engineering, Kalavakkam, Chennai, TamilNadu, India
Manuscript received on February 05, 2019. | Revised Manuscript received on February 14, 2019. | Manuscript published on August 30, 2019. | PP: 3646-3648 | Volume-8 Issue-6, August 2019. | Retrieval Number: F9366088619/19©BEIESP | DOI: 10.35940/ijeat.F9366.088619
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Online advertising is a gargantuan commerce and has potential for rapid growth. This paper presents novel approach of solving the advertisement prediction problem. The aim of this research is to predict an ad-click through various machine learning techniques and to compare their accuracy rates. This, would help the advertisers use the appropriate technique to increase their overall revenue through targeted advertising. The combination of features used, makes this research unique.
Keywords: Machine Learning, Ad-click, Prediction, Ad-serving