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Paper
Title

Applying Data mining for advertisement in social networks and improving CTR

Year: 1394
Publish place:
COI: RSTCONF01_651
Language: EnglishView: 646
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Authors

Mohammad Hajarian - M.Sc. Software engineering. Staffordshire University

Abstract:

In this paper author reviews different usage of data mining in social networks and defines a hypothesis that states by implementing data mining in social networks The CTR of their advertisement will improve which can lead to improvement of the revenue of social network websites. Additionally finding of recent study on social network advertisements which has been conducted by author will be analyzed and evaluated to validate this hypothesis to show that after implementing data mining on advertisement in social networks CTR of an advertisement will improve. Moreover methods of the performed research such as schema of database tables that was used in this study and other requirements of this study was stated in this paper and findings before and after implementing data mining was compared in form of bar charts. Additionally other relevant studies regarding this subject has been reviewed and the role of data mining to improve click through rate of advertisement in social network was described.

Keywords:

Data mining, Advertisement, Association rule, CTR, Social network

Paper COI Code

This Paper COI Code is RSTCONF01_651. Also You can use the following address to link to this article. This link is permanent and is used as an article registration confirmation in the Civilica reference:

https://civilica.com/doc/398715/

How to Cite to This Paper:

If you want to refer to this Paper in your research work, you can simply use the following phrase in the resources section:
Hajarian, Mohammad,1394,Applying Data mining for advertisement in social networks and improving CTR,کنفرانس بین المللی پژوهش در مهندسی، علوم و تکنولوژی,https://civilica.com/doc/398715

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