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E-commerce platform designed for continuous optimization and personalization
Dräxler, Peter ; Peška, Ladislav (advisor) ; Bernhauer, David (referee)
The ability of an e-commerce company to collect, synthesize, and utilize data can be vital to its survival. The degree to which a company has the ability to gather data about sources of conversion is proportional to their ability to allocate advertising / im- plementation budget effectively. Measurement and optimization of user flow on a website is equally important as it can deliver a measurable increase in user loyalty, revenue, and profits. Similarly, it can reveal that numerous improvements, while appearing effective on paper, may not perform as well in real-world scenarios. This thesis focuses on the construction of an e-commerce platform centered around data collection and analysis. We use the data to conduct continuous, real-time experi- ments on the platform using the contextual multi-armed bandits algorithm. We develop a recommendation system based on collaborative filtering and set up an experiment to evaluate it's real-world performance. The platform can be easily connected to a business intelligence dashboard to allow data exploration, to support its management in making informed tactical & strategic decisions. The platform is developed with Blazor, which is an emerging technology that en- ables usage on C# code in the browser with compilation to WebAssembly as opposed to JavaScript. We describe...
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Known-item search in image datasets using simple color sketches
Dräxler, Peter ; Lokoč, Jakub (advisor) ; Iser, Tomáš (referee)
With the growing amount of multimedia content, the availability of quality search tools is becoming increasingly important. Without suitable sample queries, it is difficult to evaluate quality of any search algorithm. In this work we search for a known image in a database. We describe an experiment in which 2,500 simple color drawings were collected from real users. Using these drawings, we evaluate the accuracy with which the user is able to remember the colors in the image. We use the obtained data to evaluate the accuracy of various search models. Part of the work is also a web application that allows you to search in images. 1
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