Recommendation and personalisation engines for digital broadcast

The Digital Institutional Repository of IIM Bangalore

Please use this identifier to cite or link to this item: https://repository.iimb.ac.in/handle/123456789/11122

DC Field	Value	Language
dc.contributor.advisor	Nagadevara, Vishnuprasad
dc.contributor.author	Bose, Prithviraj
dc.date.accessioned	2017-10-11T15:17:24Z
dc.date.accessioned	2019-03-18T08:35:06Z	-
dc.date.available	2017-10-11T15:17:24Z
dc.date.available	2019-03-18T08:35:06Z	-
dc.date.issued	2012
dc.identifier.uri	http://repository.iimb.ac.in/handle/123456789/11122
dc.description.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.
dc.language.iso	en_US
dc.publisher	Indian Institute of Management Bangalore
dc.relation.ispartofseries	PGSEM-PR-P12-57	-
dc.subject	Digital broadcasting
dc.title	Recommendation and personalisation engines for digital broadcast
dc.type	Project Report-PGSEM
dc.pages	42p.
Appears in Collections:	2012

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