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@article{197130,
        author = {Dr Y. Venkat and P.P.L. Anju Devi and D. Yamalika and K. Sai Lalitha and P. Rishitha},
        title = {Holiday Package Purchase Prediction Using Gradient Boosting for Intelligent Customer Targeting},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {11},
        pages = {5855-5861},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=197130},
        abstract = {In the tourism industry, it's really important to find the right people who are interested in buying holiday packages. This helps make marketing efforts more successful and increases sales. Typically, marketing strategies try to appeal to a large audience, but this approach can be costly and not very effective. A new approach is to use a machine learning system that can predict which customers are most likely to purchase a holiday package, making marketing more targeted and efficient. 
By using this system, businesses can save time and money by focusing on the people who are actually interested in their products. This can lead to better results and more sales, which is the ultimate goal of any marketing campaign. Our system takes a closer look at customers - their age, how much they earn, what they do for a living, and where they've travelled to. This information helps us make predictions about them. But first, we need to make sure the data we're using is reliable and accurate.
So, we use special techniques like cleaning, transformation, and encoding to get the data in shape and ready for our model to learn from. We use a powerful algorithm called Gradient Boosting, which is really good at finding complex patterns in the data, to make our predictions more accurate. To see how well our system is working, we check things like how often it gets things right, how precise it is, how well it remembers important details, and its overall performance score. We want to make sure our system is doing its job well, so we keep a close eye on these metrics. 
Our approach is really good at identifying customers who are likely to purchase holiday packages. This is a big help to travel companies as they can focus their marketing efforts, cut costs, and keep their customers satisfied. With this system, travel companies can create more targeted and effective marketing campaigns, which can result in increased sales and business growth. By targeting the right customers, travel companies can make the most of their marketing budget and build strong relationships with their customers, leading to long-term success.},
        keywords = {Machine Learning, Tourism, Marketing, Travel Companies,},
        month = {April},
        }