Hybrid machine learning techniques for travel recommendations

Humans have always had a natural need to travel. Regardless of obstacles like age, gender, color, or geographic restrictions, people aspired to travel for a variety of reasons. Travel and adventure are currently the most popular forms of entertainment. For inexperienced travelers, planning a trip is a laborious and time-consuming effort. Here is where professional advice for creating the ideal travel schedule may be available. In the age of technology, data or information is crucial to completing any activity. A system that pulls relevant and helpful material from the vast informational pool is necessary since people are suffering from information overload because of the Internet’s rapid proliferation. The tourism sector needs a system like this. The many recommendation algorithms and methodologies now used in the industry have been addressed in this paper.