Title: Intelligent sports commentary recommendation system for individual cricket players
Authors: V. Subramaniyaswamy; R. Logesh; V. Indragandhi
Addresses: School of Computing, SASTRA University, Thanjavur, India ' School of Computing, SASTRA University, Thanjavur, India ' School of Electrical Engineering, VIT University, Vellore, India
Abstract: During a cricket match, the commentary is the important thing which keeps the viewers entertained and updated about the live game. The commentary can be made interesting by narrating relevant stories related to live scenario of the sports game. But the knowledge of commentators, however wide for humans, is relatively less compared to that of the story details available about individual players. Here a system is presented called iSCoReS for individuals that can automatically suggest stories for commentators to tell during the live game. The iSCoReS for individuals is equipped with some scored examples of story-game state pairs which learns offline to connect sports stories of individual players to game states. Features describing the viewer would be input into the system, and stories could be selected partly based on these features. The problem addressed is to find and match the interesting stories as live commentary to a sports game for the individuals.
Keywords: artificial intelligence; information retrieval; sports broadcasting; colour commentary; human computer interaction; automation.
International Journal of Advanced Intelligence Paradigms, 2018 Vol.10 No.1/2, pp.103 - 117
Received: 09 Feb 2016
Accepted: 12 Jun 2016
Published online: 29 Jan 2018 *