A Machine Learning Approach to the Indian Comics Industry

Authors

  • Siddhartha Bose Mittal School of Business, Lovely Professional University
  • Pritpal Singh Mittal School of Business, Lovely Professional University Phagwara, Jalandhar, Punjab, India – 144411
  • Rakhi Nagpal Mittal School of Business, Lovely Professional University Phagwara, Jalandhar, Punjab, India – 144411

Keywords:

Indian Comics Industry, Machine Learning, Buying Intention, Marketing, Strategy

Abstract

The comic book industry in India is growing quickly, and publishers and stores are always looking for ways to improve their marketing so they can get more customers. The use of machine learning programming in the industry has shown that it has a lot of potential to boost sales, but there hasn't been much research done on the specific things that make Indian comic book buyers want to buy. In this paper, a machine learning algorithm based on logistic regression is proposed to predict whether or not Indian comic book buyers are going to buy. A review of the literature was done to find out what research had already been done on how machine learning programming is used in the Indian comic book industry. Most of the research that had been done before was about using machine learning for recommendation systems and predictive analysis, the review found. But it's important to figure out what makes Indian comic book buyers want to buy. The proposed machine learning algorithm uses price, genre, author, and publisher to predict whether or not someone will buy something. Logical regression, a statistical method used for two-way classification problems, is used to create the algorithm. The algorithm is trained on a set of data about how many comic books were sold, and its accuracy is tested on a separate set of data. The results of the proposed algorithm show that it can accurately predict whether or not an Indian customer will buy a comic book. The algorithm can figure out which specific factors affect a person's decision to buy, which can help retailers and publishers make better marketing campaigns and better products. The proposed algorithm could make marketing strategies in the Indian comic book industry more efficient and effective. In conclusion, the proposed machine learning algorithm could make a big difference in the marketing strategies of the Indian comic book industry. By figuring out the specific things that affect a person's decision to buy, retailers and publishers can improve their marketing campaigns and make their products better. The proposed algorithm can also be used to keep track of inventory and analyze sales. In the future, research can be done to add more factors to the dataset and make machine learning algorithms for the Indian comic book industry that are more advanced.

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References

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Published

04.11.2023

How to Cite

Bose, S. ., Singh, P. ., & Nagpal, R. . (2023). A Machine Learning Approach to the Indian Comics Industry. International Journal of Intelligent Systems and Applications in Engineering, 12(3s), 80–84. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/3664

Issue

Vol. 12 No. 3s (2024)

Section

Research Article

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