Blar i NTNU Open på forfatter "Gulla, Jon Atle"

Viser treff 41-60 av 85

    • Mobile News: Design, User Experience and Recommendation 

      Haugen, Kent Robin (Master thesis, 2013)
      As news consumption is shifting towards the digital domain, with mobile devices in particular, mobile news applications are becoming increasingly popular.This thesis focuses on a combination of mobile applications, with ...

    • Model based analysis of IT support in the agricultural value chain 

      Johnsen, Maria (Master thesis, 2007)
      During the last decade, use of fragmented IT systems and support for agricultural purposes in Norway has increased dramatically. However, very little analytical and empirical research has been carried out to determine ...

    • Multi-Turn Generation-Based Conversational Agents in Open Domains 

      Xing, Yujie (Doctoral theses at NTNU;2024:75, Doctoral thesis, 2024)
      This PhD thesis focuses on open-domain generation-based conversational agents, which are chatbots that generate responses to any input or question using natural language processing and deep learning techniques. The thesis ...

    • Multilingual News Article Classification 

      Skjennum, Patrick L (Master thesis, 2016)
      News is an ever-growing and global resource, reliant on robust distribution networks to spread information. This thesis investigates how exploiting semantic, contextual and ontological information may form a basis for a ...

    • Multilingual Review-aware Deep Recommender System via Aspect-based Sentiment Analysis 

      Liu, Peng; Zhang, Lemei; Gulla, Jon Atle (Peer reviewed; Journal article, 2021)
      With the dramatic expansion of international markets, consumers write reviews in different languages, which poses a new challenge for Recommender Systems (RSs) dealing with this increasing amount of multilingual information. ...

    • Named entity recognition: Evaluation of Existing Systems 

      Sun, Bowen (Master thesis, 2010)
      Nowadays, one subfield of information extraction, Named Entity Recognition, becomes more and more important. It helps machine to recognize proper nouns (entities) in text and associating them with the appropriate types. ...

    • Neural Networks for Entity Matching: A Survey 

      Barlaug, Nils; Gulla, Jon Atle (Peer reviewed; Journal article, 2021)
      Entity matching is the problem of identifying which records refer to the same real-world entity. It has been actively researched for decades, and a variety of different approaches have been developed. Even today, it remains ...

    • New Insights into Content Production in Social Platforms 

      Kusmierczyk, Tomasz (Doctoral theses at NTNU;2018:173, Doctoral thesis, 2018)
      Social media influences to a great extent everyday life of millions of people, and therefore the understanding of certain patterns relating to online platforms and communities, and the ability to model and predict them, ...

    • On-Line Clustering of Web Search Results 

      Borch, Hans Olaf (Master thesis, 2006)
      Clustering in a data mining setting has been researched for decades. Lately, document clustering used to cluster web search engine results have recieved much attention. Large companies such as Google and Microsoft have ...

    • Online event recommendation - Retrieving and and analyzing Norwegian screening events 

      Paulsen, Mads Løkken (Master thesis, 2016)
      As the available content on the Internet grows, it is becoming harder to find the relevant data you are looking for. A segment of the available content is future events (e.g. concerts, sports matches, public parties, book ...

    • Online News Detection on Twitter 

      Wold, Henning Moberg; Vikre, Linn Christina (Master thesis, 2015)
      In this thesis, we seek to find suitable methods for detecting news on Twitter within the fields of artificial intelligence, information retrieval, computational linguistics, and natural language processing. We combine ...

    • Ontologikonstruksjon for Statoil: Evaluering av metoder for konstruksjon av søkeontologier 

      Grimnes, Geir Øyvin (Master thesis, 2006)
      I dagens industriorganisasjoner er store mengder kunnskap og informasjon spredd utover organisasjonen gjennom ulike dokumenter som er lagret digitalt. I store organisasjoner vil mengden dokumenter øke svært raskt, og kravet ...

    • Ontology Learning - Suggesting Associations from Text 

      Kvarv, Gøran Sveia (Master thesis, 2007)
      In many applications, large-scale ontologies have to be constructed and maintained. A manual construction of an ontology is a time consuming and resource demanding process, often involving some domain experts. It would ...

    • Ontology-driven and rules-based system for management and pricing of family of product. 

      Dedeban, Vincent (Master thesis, 2007)
      This report presents an approach to product family management using semantic technologies. There is a need for more flexible configuration management and pricing, explicitly representing domain knowledge and configuration ...

    • Ontology-Driven Query Reformulation in Semantic Search 

      Solskinnsbakk, Geir (Master thesis, 2007)
      Semantic search is a research area in which the goal is to understand the users intended meaning of the query. This requires disambiguation of the user query and interpreting the semantics of the query. Semantic search ...

    • Pre-trained transformers with transfer learning and handcrafted-features for entity matching 

      Tokstad, Thea (Master thesis, 2021)
      Entitetsmatching (EM) er det å identifisere dataoppføringer fra forskjellige databaser som referer til samme entitet. Nylig så har transformer-baserte språkmodeller blitt introdusert til EM. Disse har vist seg å være svært ...

    • Predicting the next click with Web log Process Mining 

      Mukhiya, Suresh Kumar (Master thesis, 2016)
      Process mining allows for extraction of visual models describing general sequence patterns from event log data. This analysis technique is most commonly applied in business process analytics settings comparing expected and ...

    • Real-time social recommendation based on graph embedding and temporal context 

      Liu, Peng; Zhang, Lemei; Gulla, Jon Atle (Journal article; Peer reviewed, 2018)
      With the rapid proliferation of online social networks, personalized social recommendation has become an important means to help people discover their potential friends or interested items in real-time. However, the ...

    • Recommending on graphs: a comprehensive review from a data perspective 

      Zhang, Lemei; Liu, Peng; Gulla, Jon Atle (Peer reviewed; Journal article, 2023)
      Recent advances in graph-based learning approaches have demonstrated their effectiveness in modelling users’ preferences and items’ characteristics for Recommender Systems (RSs). Most of the data in RSs can be organized ...

    • Representation of Business Processes with Semantic Rule Languages 

      Liadal, Terese (Master thesis, 2009)
      Summary.