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Author:Manzi, Marco
Title:User-driven, content-based, automated advertising via social network integration
Publication type:Master's thesis
Publication year:2012
Pages:(8) + 88      Language:   eng
Department/School:Tietotekniikan laitos
Main subject:Tietokoneverkot   (T-110)
Supervisor:Gurtov, Andrei
Instructor:Lukyanenko, Andrey
OEVS:
Electronic archive copy is available via Aalto Thesis Database.
Instructions

Reading digital theses in the closed network of the Aalto University Harald Herlin Learning Centre

In the closed network of Learning Centre you can read digital and digitized theses not available in the open network.

The Learning Centre contact details and opening hours: https://learningcentre.aalto.fi/en/harald-herlin-learning-centre/

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    Aalto Thesis Database

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Location:P1 Ark Aalto     | Archive
Keywords:user-driven advertising
content-based targeting
social media
online business
marketing
recommendation systems
web services
social media applications
web analytics
analytics tools
Abstract (eng): Online advertising of services through the Web has found new fertile ground on the development of social media, thanks to the integration of the latter with traditional websites, and business owners recently began to acknowledge this potential.

Our study aims to analyse and explore how to effectively utilize these new opportunities promote online business.
To achieve this, we adopted an automated approach which exploits the user-driven evolution of Internet technologies and social networks in particular, targeting specific users, based on content of interest both from the business and customer point of view.

Our results show that this method can be profitable in establishing a deeper presence in the users online habits, allowing them to promote further the service within their contact network, thus virtually increase exponentially its visibility.
Furthermore, this work offers the basis for ideas and suggestions on how to strengthen the business presence in social media, providing better engagement with the subscribers and possibly attracting new customers.
ED:2012-06-05
INSSI record number: 44654
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