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  KEYWORD

Automatic recommendation system for tourism platform

azienda Thesis in external company    


keywords DATA MINING, NONLINEAR ANALYSIS, COMPLEX NETWORK, RECOMMENDER SYSTEMS

Reference persons ALESSANDRO FIORI

Research Groups DAUIN - GR-04 - DATABASE AND DATA MINING GROUP - DBDM

Thesis type RESEARCH THESIS WITH A COMPANY

Description In Italy, the tourism sector is very important for the country's economy. In recent years, economic policies have encouraged the development of local excellence. Despite this, in rare cases collaborations have been created between the various actors in the sector (hotels, restaurants, farms, spas, etc.). Moreover, it is not always easy for tourists to find offers of experiences and/or services in the area. For these reasons we are developing an application that collects the various offers of products and services on the Italian territory in order to offer a high quality and convenient experience to tourists, encourage territorial excellence and strengthen collaborations between different businesses. The objective of the thesis is to design and develop a recommendation system within the application in order to make the shopping experience easy, but above all in line with the needs of the customer. Through machine learning techniques, it will be possible to cross user data (preferences, purchase history, geolocation) with the characteristics of the offers present on the platform.

Required skills Python


Deadline 27/04/2023      PROPONI LA TUA CANDIDATURA




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