Blar i Studentoppgaver (TN-IDE) på forfatter "Balog, Krisztian"

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    • A conversational framework for mulitple modalities 

      Henriksen, Rune; Mosand, Sinde E. (Bachelor thesis, 2022)
      This paper is concerned with creating conversations around the ECIR conference with multiple modalities. We use a Furhat robot from Furhat robotics to have a physical presence and handle voice. Rasa addresses the AI component ...

    • A conversational framework for multiple modalities 

      Henriksen, Rune; Mosand, Sindre (Bachelor thesis, 2022)
      This paper is concerned with creating conversations around the ECIR conference with multiple modalities. We use a Furhat robot from Furhat robotics to have a physical presence and handle voice. Rasa addresses the AI component ...

    • A Conversational Recommender Skill for Conference Content 

      Dørheim, Eyvinn Thu; Sørensen, Sander Havn (Bachelor thesis, 2022)
      Conversational information access systems aim to assist users in task-oriented exchanges of information in a conversational manner. Supporting multiple user goals, such as informational search, recommendation and exploratory ...

    • Answering Engine for Sport Statistics: Question Processing 

      Blaauw, Øyvind (Masteroppgave/UIS-TN-IDE/2017;, Master thesis, 2017)
      In recent years, there has been an increasing growth of interest among computer scientists for the topic of Linked Data and the Semantic Web. By connecting and publishing structured data from multiple sources, the Web ...

    • Answering Engine for sports statistics: Development of an ontology and a knowledge base 

      Mehdipour Pirbazari, Aida (Masteroppgave/UIS-TN-IDE/2017;, Master thesis, 2017-06-17)
      Focus of this study is on development of a domain-specific ontology and a knowledge base of facts for a Question Answering system. This QA system accepts natural language questions about statistics of Formula One and ...

    • arXiv Table Extractor 

      Ramsay, David Gordon; Pop, Rebeca (Bachelor thesis, 2021)

    • ArXivDigest: A Living Lab for Personalized Scientific Literature Recommendation 

      Jekteberg, Øyvind; Gingstad, Kristian (Masteroppgave/UIS-TN-IDE/2020;, Master thesis, 2020-06-15)
      The purpose of this thesis is to explore different methods for recommending scientific literature to scientists and to explore different methods for doing topic extraction. We will update and use the already existing ...

    • Automatic Entity Typing using Deep Learning 

      Hovda, Jon Arne Bø (Masteroppgave/UIS-TN-IDE/2018;, Master thesis, 2018-06-15)
      Knowledge bases contain vast amounts of information about entities and their semantic types. These can be leveraged in a variety of information access tasks like natural language processing and information retrieval. ...

    • Constructing a Personal Knowledge Graph from Disparate Data Sources 

      Langholm,Einar (Master thesis, 2021)
      This thesis revolves around the idea of a Personal Knowledge Graph as a uniform coherent structure of personal data collected from multiple disparate sources: A knowledge base consisting of entities such as persons, events, ...

    • Context Modeling for User Simulation for Conversational Information Access 

      Afzali, Jafar; Drzewiecki, Aleksander Mark (Master thesis, 2022)
      Conversational Information Access systems are systems that help satisfy the information needs of their users via multi-turn conversations. These systems are different from traditional information access systems as they can ...

    • A Conversational Movie Recommender System 

      Habib, Javeria (Masteroppgave/UIS-TN-IDE/2020;, Master thesis, 2020)
      The purpose of a Conversational Recommender System is to help the users achieve their recommendation specific goals using a multi-turn dialogue. In recent years, numerous studies are conducted on improving the quality ...

    • A Conversational Movie Recommender System 

      Habib, Javeria (Masteroppgave/UIS-TN-IDE/2020;, Master thesis, 2020-06-15)
      The purpose of a Conversational Recommender System is to help the users achieve their recommendation specific goals using a multi-turn dialogue. In recent years, numerous studies are conducted on improving the quality ...

    • Creating a Movie Recommendation Chatbot for the Facebook Messenger Platform 

      Berge, Fredrik Seim (Bachelor thesis, 2021)
      The main goal of this thesis is to create a Facebook Messenger bot for the IAI MovieBot recommending system. The MovieBot is adapted to run on Messenger and Telegram simultaneously. Additionally, an adapted version of the ...

    • Decreasing Manual Workload by Automating SAP Travel Expense Workflows 

      Husebø, Ivan-Louis Miranda; Kvist, Andreas (Masteroppgave/UIS-TN-IDE/2018;, Master thesis, 2018-06)
      In the 21st century, efficiency is a key focus for several organisations, and because of this, machine learning and process automation is getting a lot of attention. The Norwegian Government Agency of Financial Management ...

    • Evaluating Fairness in Information Retrieval Systems: A Study on the Performance of the FAIR Metric 

      Eriksen, Maria (Master thesis, 2023)
      In the digital era, the use of information retrieval (IR) technologies has surged, enabling users to access vast amounts of data quickly. However, concerns have arisen regarding bias and unfairness in these systems, leading ...

    • Information Retrieval using applied Supervised Learning for Personalized E-Commerce 

      Hellum, Kjell Arne (Masteroppgave/UIS-TN-IDE/2017;, Master thesis, 2017-06-15)
      Personalized E-Commerce Search Challenge issued by the International Conference on Information and Knowledge Management. By analyzing historical data containing browsing logs, queries, user interactions, and static data ...

    • Lærings System og Smart Tekst Editor for å forbedre Lærer - Student Samarbeid 

      Billa, Osama; Kassaye, Yohannes Dawit (Bachelor thesis, 2021)
      Web Utvikling, TypeScript, JavaScript, HTML, CSS, MySQL, Database, Vue.js, Node.js

    • Personalizing Human-Robot Dialogue Interactions using Face and Name Recognition 

      Orujova, Narmin; Khlybova, Ekaterina (Master thesis, 2022)
      Task-oriented dialogue systems are computer systems that aim to provide an interaction indistinguishable from ordinary human conversation with the goal of completing user- defined tasks. They are achieving this by analyzing ...

    • Table2Vec: Neural Word and Entity Embeddings for Table Population and Retrieval 

      Deng, Li (Masteroppgave/UIS-TN-IDE/2018;, Master thesis, 2018-06)
      Tables contain a significant amount of valuable knowledge in a structured form. In recent years, a growing body of studies related to tables has been conducted in different application domains. To the best of our knowledge, ...

    • Towards More Natural Explanations of User Preferences 

      Tan, Renny Octavia (Masteroppgave/UIS-TN-IDE/2020;, Master thesis, 2020-07-15)
      Explainable recommendations refer to algorithms or methods that enable recommender systems to provide recommendations to the users, as well as to explain the reason why the items or products are being recommended. Recently, ...