Development of Marketplace Recommendation Service using Machine Learning Methods

Student: Baymurzaev Nazhmudin-ali

Educational Programme: Business Informatics (Bachelor)

Year of Graduation: 2018

Development of recommendation service is a multi-disciplinary research so it requires using of knowledge from various fields such as Machine Learning, Data Mining, Web-service development and Marketing. Research methods used in this work can be useful tools for online stores’ owners, who are looking for some additional ways to enhance key performance indicators and for technical specialists who develop and implement recommendation services in e-commerce sector. The expected result of the research is a developed recommendation service that takes into account business requirements and improves key performance indicators for e-commerce business.

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