An Information-Theoretic Definition of Similarity
ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
Verbs semantics and lexical selection
ACL '94 Proceedings of the 32nd annual meeting on Association for Computational Linguistics
The dynamics of viral marketing
ACM Transactions on the Web (TWEB)
Identifying the influential bloggers in a community
WSDM '08 Proceedings of the 2008 International Conference on Web Search and Data Mining
Expert Systems with Applications: An International Journal
Identification of influencers - Measuring influence in customer networks
Decision Support Systems
A personalized recommendation system based on product taxonomy for one-to-one marketing online
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
A preference scoring technique for personalized advertisements on Internet storefronts
Mathematical and Computer Modelling: An International Journal
A diffusion mechanism for social advertising over microblogs
Decision Support Systems
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Social networks (SNs) in Internet are gaining importance as a component of commercial possibilities. Many web services adopting SNs concept, such as MySpace and Facebook, have been making great progress or creating new opportunities in recent years. Online advertising, from email advertising to banner advertising and embedded advertising, becomes the main business model for SNs. Advertisers attempt to expose ads to appropriate customers; they conduct marketing research to discover which users are their potential customers but the return on investment is still low. In this paper, we propose an advertising system based on social relation and viral marketing. Different from traditional advertising manner, advertisements are only sent to suitable endorsers who are influential in his own network and interested in the domain of advertisements initially and diffuse from them. Our mechanism can significantly improve the marketing accuracy because they know the information about their friends that advertisers don't based on traditional content analysis or history data. By improving positive influence and decreasing negative effect that comes with advertisement pushing, the campaign about products or services is more effective and the costs that advertisers spent are significantly reduced.