SINCE 2010/12/11

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CHIBA INSTITUTE of TECHNOLOGY

Faculty of Social Systems Science

Department of Management Information Science


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丂丂丂仚Evaluation method of information credit in influencer marketing:


丂丂丂丂Modern lifestyles have been altered significantly by recent developments

丂丂丂in information and communications technology. In the marketing field,

丂丂丂enterprises often use video advertising because of its effectiveness.

丂丂丂The number of content producers is increasing, and YouTube is an effective medium

丂丂丂for advertising. This advertising method is called 乪influencer marketing.乫

丂丂丂丂Therefore, both the demand and the supply are increasing in the field of

丂丂丂video advertising. In the present study, this trend was analysed from

丂丂丂the viewpoints of an enterprise and a content producer. Then, a new business model

丂丂丂was developed for increasing the demand and supply. The business model includes

丂丂丂a matching function between enterprises and content producers for video advertising

丂丂丂to achieve such increases.

丂丂丂丂Second, a matching algorithm based on the calculation of the relativity between

丂丂丂enterprises and content producers was proposed. Because the inputs of an enterprise

丂丂丂and content producer include both numerical and textual data, a relativity-value

丂丂丂calculation algorithm using these inputs was developed. Moreover, the feasibility

丂丂丂of the proposed algorithm was evaluated.






 


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