Machine learning is the science that provides systems the ability to automatically learn and improve from experience based on the idea that systems can learn from data, identify patterns and make decisions with minimal human intervention. Machine learning focuses on the development of computer programs that can access data and use it learn for themselves.
People used to depend mostly on other people's recommendations and opinions to choose a hotel, which has changed with the advent of digital age. People now visit online to various websites to get those recommendations which has given rise to the demand of recommendation services. A Recommendation system filters data, information as well as history and behaviour of the user in order to recommend most relevant items by providing a smaller, focused body of suggestions for the user.
There are several approaches of hotel recommendation. One of the most successful approach is Collaborative filtering, which is an effective and easy approach to solve this problem, as it evolves and learns from user’s preferences in order to make personalized recommendations for users with similar preferences.
With the advent of technology and the assault of google in our daily lives, we face a plethora of options in anything and everything we search for, unless we know for a sure shot what we have been looking for.
When organizing a trip, travellers usually select the destination to visit before choosing the hotel where they will stay and the choice of accommodation highly depends on its location. For example, say you were looking for a good place to stay, a hundred places would pop up; some that make sense, many that don’t. We have far too many choices and far too little time to explore them all. We would have to surf from website to website just in hopes to find the right fit. Although the availability of large-scale data can be beneficial, it can also make the decision even tougher. Due to this, it takes too long to determine a hotel as users have lots of options to choose from which might make them confused in selecting the most suitable one.
But, what if, there were a system that filters information and recommends places to you based on recommendations and your preferences, all the best results right on the tip of our fingertips. This is what recommendation engines do and their power is being harnessed by most business these days.
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