Efficient ad placement using data mining and optimization

Vijaykumar Bidve, Suprakash Nair, Pakiriswamy Sarasu, Shailesh Kediya, Jayshree Tamkhade


Nowadays online or digital marketing is the key player in modern product promotion. It allows everyone to promote their own product online easily and at the lowest cost than any other way of marketing. But people face difficulties in promoting their product online. Organizations ranging from small to big often tend to waste money in online ad placement or it may be less effective to the budget they made. The proposed system can identify the right audience and platform in which to be promoted for the product that is to be promoted. This system is so precise in achieving this through data mining and data optimization. Here we use the firefly algorithm for data optimization. The system outputs the platform that can be targeted and the countries where the customers are interested in the product.


Ad placement; Clustering; Data mining; Digital marketing; Optimization

Full Text:


DOI: http://doi.org/10.11591/ijeecs.v32.i1.pp563-570


  • There are currently no refbacks.

Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

The Indonesian Journal of Electrical Engineering and Computer Science (IJEECS)
p-ISSN: 2502-4752, e-ISSN: 2502-4760
This journal is published by the Institute of Advanced Engineering and Science (IAES) in collaboration with Intelektual Pustaka Media Utama (IPMU).

shopify stats IJEECS visitor statistics