Publication Type : Journal Article
Publisher : International Journal of Applied Engineering Research
Source : International Journal of Applied Engineering Research, Volume 10, Issue 11, p.28903 - 28910 (2015)
Url : https://www.researchgate.net/publication/282923267_A_novel_advertisement_recommendation_system_for_online_video_portals
Campus : Coimbatore
School : School of Engineering
Department : Computer Science
Year : 2015
Abstract : Online Video portals like YouTube, Vimeo, NetFlix, Vube, Twitch, etc., usually display advertisements before playing videos to its users based on the category to which the user belong to. However, due to the varied interests of the user, visibility of such advertisements is restricted. In this paper, we propose a novel technique which helps bring the right advertisement to the right users. We have implemented this idea using two collaborative algorithms. To satisfy this purpose we have designed a local video portal with a new recommendation system which benefits both users as well as the advertisers. Results show that 68.35% of viewers were interested in the advertisements that were displayed using our proposed technique.
Cite this Research Publication : S. Soundappan, Shajikumar, R., Ritwik Murali, Satheedevi, C., and Vishanth, T. M., “A novel advertisement recommendation system for online video portals”, International Journal of Applied Engineering Research, vol. 10, no. 11, pp. 28903 - 28910, 2015.