Abstract

Recommendation programs are finally being used to provide customers with a customized selection of services. To put it another way, they're set up to produce recommendations (such as restaurants or tourist attractions) that cater to the needs of the customer and may be used to a variety of situations. In order to make recommendation processes more efficient and effective, and to deal with any problems that may arise, a variety of helpful methods to data management may be used. In this article, a machine learning method is proposed to address the issue of customizing restaurant preferences based on tripadvisor.com search data. The hotel's services are used, and client feedback is taken into account.

Full Text
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