Enhancing Ad Relevance Through Search and Personalization
Author(s):
Yogananda Domlur Seetharama
Advertisements are needed in the digital platform 2019 to enhance the total revenue of line items in various fields. However, the problem is still vast concerning the advertisements' relevance, so people remain loyal to their ad blocks and do not join ad networks. In this paper, the author describes the strategies and benefits of making advertisements more relevant through search and personalization. By applying data analytics and machine learning, business people can advertise products to concerned customers, enhancing the utilization of advertisements as a revenue channel.