• Meduri V N S S R K Sai Somayajulu
• Ede. Mahendra
• Batana. Seshagiri
• Sura. Raghu Kumar
• K. Bhanuji Rao

In today's digital age, recommendation systems play a crucial role in assisting consumers across various industries, most notably in entertainment and tourism. The proliferation of these systems has revolutionized the way travelers explore and select accommodations, particularly in the global hotel industry. By leveraging advanced algorithms and customer-generated data, recommendation systems help users make informed decisions by offering tailored suggestions that align with their preferences. This paper delves into the significance of recommendation systems in hotel selection, focusing on the challenges and advancements in online tourism resource recommendations.

KNN, Naive Bayes, SVM

"Hotel Recommendation System Using Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 4, page no.m465-m469, April-2024, Available :http://www.jetir.org/papers/JETIR2404C64.pdf

"Hotel Recommendation System Using Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 4, page no. ppm465-m469, April-2024, Available at : http://www.jetir.org/papers/JETIR2404C64.pdf