Recommendation and personalisation engines for digital broadcast

Abstract

To summarize, the scope of this project is to, ? Study the various trends in recommendation and personalisation software that are being developed as well as used in the digital broadcast industry. ? Analyze the competitive landscape both from the B2B as well as B2Cperspective. ? As a case study, apply data mining techniques (for example, association and classification data mining techniques) on the actual TAM India database obtained over a broadcaster s network and analyse the digital TV viewing trends (both for satellite and cable TV). ? Synthesize the data mining results with the observational trends in the digital broadcast industry.