1 |
Smart Marketing na TV Digital Interativa atrav?s de um sistema de recomenda??o de an?ncios / Smart Marketing on Interactive Digital TV through an advertising recommendation systemSantos, Alan Menk dos 03 December 2012 (has links)
Made available in DSpace on 2016-04-04T18:31:34Z (GMT). No. of bitstreams: 1
Alan Menk dos Santos.pdf: 6433244 bytes, checksum: d8118b5fa4198a1f3792738316afd65a (MD5)
Previous issue date: 2012-12-03 / With the implementation of the Brazilian Digital TV System (SBTVD) comes a range of new opportunities and possibilities both for viewer and TV stations. For the viewers, they
will have an immense amount of channels, programs and interactive advertisements. For TV stations, it increases the possibility of advertising in new media. In this context, the
opportunity arises for a recommendation system for applications and interactivity portals. This dissertation presents a proposal of advertising personalization into applications and portals of digital TV environment in order to bring a better experience to the viewer, a new form of income for the broadcasters and also a greater acceptance of specialized products for use. This work develops an application for interactive Digital TV called Smart Marketing
capable of capturing viewer navigation data through both implicit and explicit means by performing customized advertising from the process of knowledge discovery.
Developed from AstroTV middleware, compatible with the Brazilian specification, its application was evaluated by means of experiment that used varied user profiles, applying
into the generated database the process of knowledge discovery, which used tasks of classification and grouping. The results indicated the quality of the recommendation
generated by Smart Marketing. / Com a implanta??o do Sistema Brasileiro de TV Digital (SBTVD), inicia-se uma gama de novas oportunidades e possibilidades tanto para o telespectador quanto as emissoras de TV. Para os Telespectadores, eles ter?o uma imensa quantidade de canais, programas e propagandas interativas. Para as emissoras de TV, aumenta a possibilidade de
propagandas em novos meios de comunica??o. Neste contexto, surge a oportunidade de um sistema de recomenda??o para os aplicativos e portais de interatividade.
Esta disserta??o apresenta uma proposta de personaliza??o de propaganda em aplicativos e portais do ambiente de TV Digital com o objetivo de trazer uma melhor experi?ncia ao telespectador, uma nova forma de obten??o de recursos por parte das teledifusoras e tamb?m uma maior aceita??o de produtos especializados, para uso. Este trabalho desenvolve um aplicativo para a TV Digital interativa denominado Smart
Marketing capaz de capturar os dados de navega??o do telespectador tanto por meio impl?cito quanto explicito, realizando a apresenta??o de publicidades personalizadas a
partir do processo de descoberta do conhecimento. Elaborado a partir do middleware AstroTV, compat?vel com a especifica??o brasileira, sua aplica??o foi avaliada por meio do experimento que se utilizou, de usu?rios com perfis variados, aplicando na base de dados gerada o processo de descoberta de conhecimento, o qual utilizou-se das tarefas de classifica??o e agrupamento. Os resultados obtidos indicaram a qualidade da recomenda??o gerada pelo Smart Marketing.
|
2 |
Návrh strategie uvedení nových výrobků ABB na český trh / The Suggestion of the Strategy for a New ABB Products LaunchingBrož, Přemysl January 2011 (has links)
his work „Proposal of strategy of penetration new products of ABB on the Czech market“ considers with appropriate strategy of penetration and sales terminal blocks on the Czech market with goal to achieve 10 % market share in the short time period, the order of several years. The analytical part of work contains an analysis of current status company, market and competition. On the basis of this analysis and theoretical groundwork, recommends appropriate strategy and precautions to improve competitiveness and obtain new customers. The work also includes income trading for the year 2009 and part of 2010.
|
Page generated in 0.0642 seconds