Abstract

With the development of ICT, e-business have brought consumers opportunities to choose a wider range of products to purchase. However, these opportunities made it difficult for them to make a choice. Under this circumstance, product recommendation systems have arisen, helping consumers with purchase decision. In this paper, an intelligent matching system is proposed to connect small business/manufactures with celebrities. Previous matching/recommendation systems using narrowing approach based on limited information or using widening approach based on users’ information. But these approaches have many restricts. The proposed matching system produces suitable celebrity candidate set to advertise target product of small business/manufactures based on relationship graph which can compare the similarity of each celebrity.

Highlights

  • There are various recommendation systems for matching products between celebrities to increasing promotion effects exist

  • This paper proposes the new method to improve promotion effect through advertising by suitable matched celebrities for the given product with using star relationship graph

  • The proposed method collets the information of the celebrities automatically on the web, and generating the star relationship graph as the relationship/similarity of each celebrities using KNN distance with hierarchical random graph model

Read more

Summary

Introduction

There are various recommendation systems for matching products between celebrities to increasing promotion effects exist. The goal of these systems is increasing sales volume by the selecting suitable celebrities as an advertisement model. The existing systems did not work effectively, because its matching methodologies have simple approaches and using few features to matching the target product with celebrities. This paper proposes the new method to improve promotion effect through advertising by suitable matched celebrities for the given product with using star relationship graph. The proposed method collets the information of the celebrities automatically on the web, and generating the star relationship graph as the relationship/similarity of each celebrities using KNN distance with hierarchical random graph model

Recommendation system
Hierarchical random graph
Proposed business matching system
Matching system model
Data collection method
Conclusion and further research
Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.