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National Repository of Grey Literature 1 records found  Search took 0.01 seconds. 
Recomendation algorithms
 KULIASHOVA, Veranika
The purpose of the bachelor thesis is to analyse common known recommendation algorithms and their applications in E-Commerce. This research provides an overview of the current state of the field as for the usage of recommendation systems by electronic commerce, in other words, online shopping facilities and streaming services. The study investigates three widely used recommendation systems such as Collaborative Filtering, Content-Based Filtering, and Hybrid recommendation system. The theoretical basis of the aforementioned systems, as well as their problematics, unique features, real-life applications and their differences are presented. The result of the empirical part is a conclusion of utilising the chosen database using a recommendation algorithm written in Python by the author of this thesis with a focus on accuracy and efficiency.
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