J. Appl. Environ. Biol. Sci., 5(12S)417-420, 2015_2.pdf (155.39 kB)
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Applying Data Mining for Advertisement in Social Networks and Improving CTR

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journal contribution
posted on 30.01.2021, 09:45 by Mohammad HajarianMohammad Hajarian
In this paper different usage of data mining in social networks has been reviewed and a hypothesis has been define that
states by implementing data mining in social networks The CLICK THROUGH RATE (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 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 be improved. 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.

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