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Customer Satisfaction in Information Provision in Bus and Coach terminals

The actuality of this research lies in the significance of changing the mobility traditions toward public transport usage. It requires considering various aspects of the customer experience in public transport services. Transport terminals are an asset to an area as they may act as catalysts for more active use of public transport. However, poorly planned, and sited terminals may generate problems and passengers reduction.The research aims to gain insights into the effectiveness of information visualization in bus and coach terminals and contribute to enhancing the overall passenger experience during journeys. The author is reviewing existing literature on information visualization in transport terminals and studies, or best practices related to improving passenger experiences through effective information design.The author used both quantitative and qualitative methods as sources of data, such as user surveys, expert interviews, and observations for understanding how passengers interact with existing information displays. From analysis, the Riga International Coach terminal has a good information system but misses some visualization tools for information provision. Thus, recommendations were made on how to improve information provision to enhance customer satisfaction.

Author: Diane Aliou Yasmine

Supervisor: Irina Jackiva

Degree: Master

Year: 2024

Work Language: English

Unsupervised machine learning approach for hierarchical graph-based representation of natural language text collections.

Managing big data efficiently is important in various fields, much so when data consists of human-written documents. Recent advances in Natural Language Processing (NLP), particularly LLMs, allowed to solve many task in this domain, despite the high demand for labelled data, compute resources and specialized skills.To tackle these limitations, current study proposed a NLP pipeline to identify topic hierarchies in collections of scientific publications. The work focused on evaluation of available unsupervised machine learning methods and quality metrics in NLP, and development of visualization techniques to build a prototype of the pipeline.Proposed solution is based on the hARTM approach optimized for interpretability. It demonstrated the capacity to infer human-interpretable topic hierarchies from collections of scientific texts and construct meaningful hierarchy of topic-based document representations. The visualization approaches rely on MDS to present inter-document similarity and Sankey plots to show document cluster relatedness within topic hierarchy.Utility was demonstrated on two datasets, focusing on interpretability and meaning of the topic hierarchy and associated topic definitions. Potential application areas include personal education and scientific writing.

Author: Jevgenijs Bodrenko

Supervisor: Irina Jackiva

Degree: Master

Year: 2024

Work Language: English

Study programme: Computer Sciences

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Development of a personal financial management application

Nowadays, financial management is essential in people's lives, as price increases and economic instability require more careful planning of personal finances. Technological development makes this process accessible to everyone, offering various expenditure tracking and budget planning solutions. In the bachelor's thesis, the most popular financial management applications were reviewed, showing that although they offer an intuitive interface and automated budget functions, they also have shortcomings.The goal of the work is to create an application that provides a convenient and digitally enhanced tool for financial planning and tracking. To achieve the goal, tasks included reviewing similar applications, defining requirements, creating the interface and database, developing transaction management and budgeting functionality, and testing the application. All tasks were fully completed.The application uses Python and Flask, SQLite database, HTML, CSS, and JavaScript. As a result, an application with a clear interface was developed, providing manual transaction entry and bank account Excel format upload, editing, and deletion, as well as budget control and transaction visualizations. These functions help users manage their finances more effectively and make better decisions.

Author: Jūlija Ivčenkova

Supervisor: Olga Dribeņeca

Degree: Bachelor

Year: 2024

Work Language: Latvian

Study programme: Computer Science

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