• An Ontology-Driven Recommender System for Engineering Projects 

      Mehrpoor, Mahsa (Doctoral theses at NTNU;2018:199, Doctoral thesis, 2018)
      Knowledge and information resources in enterprises are rapidly growing. The International Data Corporation (IDC) forecasts that significant yearly growth of data will result that the so-called global datasphere will have ...
    • Anbefaling av nyhetsinnhold i praksis: Fra algoritmer til personaliserte nyheter 

      Svendsen, Rolf Dyrnes; Gulla, Jon Atle; Frøland, Jørgen Hovelsen (Journal article; Peer reviewed, 2019)
      Automatiserte anbefalinger av nyhetsinnhold brukes i dag på nettsidene til mange medieselskaper med hensikt å presentere leserne mer relevante nyheter og tilby bedre brukeropplevelser. Slike brukerforståelse. I denne ...
    • Automatic Classification of Bank Transactions 

      Vollset, Erlend Emil Nøtsund; Folkestad, Olav Eirik Ek (Master thesis, 2017)
      This thesis describes implementations of several classification models to be used in a Norwegian bank transaction classification system. Our goal is to investigate which supervised machine learning methods are best suited ...
    • Automatic Detection of Fake News in Social Media using Contextual Information 

      Granskogen, Torstein (Master thesis, 2018)
      Misinformation has become an important part of society, especially with the increase in fake news. This thesis investigates how using contextual and network data may be used as a detection system for news articles or other ...
    • Automatisk sammendragsgenerering av nyhetsartikler 

      Hellerud, Helge Thomas (Master thesis, 2005)
      Det er i denne oppgaven testet og evaluert hvorvidt to teknikker med utspring fra informasjonsgjenfinning (eng: Information Retrieval, IR) kan anvendes for ekstraksjon av setninger til nyhetssammendrag. Vektorrommodellen ...
    • Brand sentiment analysis of the Norwegian banking sector 

      Lien, Anders (Master thesis, 2017)
      For the last two decades, the world wide web has become a social arena where people can express themselves. People write opinionated texts on social media towards various targets, which is read by other people. The readers ...
    • Classification of Maintenance Reports - Statistical NLP meets the Oil & Gas Industry 

      Selvig, Ole Christer Andre Asikainen (Master thesis, 2018)
      Several problematic data characteristics were revealed, such as multilingual reports, and significant class imbalances. While no consistent scheme for conduct-ing data preparation was found, several techniques were frequently ...
    • Collaborative Filtering in the News Domain with Explicit and Implicit Feedback 

      Monsen, Dag Einar; Romstad, Patrick Heia (Master thesis, 2014)
      In online recommender systems, we use computerized algorithms to present articles targeted at the preferences of each individual user. One such technique, called collaborative filtering, works by selecting articles that ...
    • Dynamic attention-based explainable recommendation with textual and visual fusion 

      Liu, Peng; Zhang, Lemei; Gulla, Jon Atle (Journal article; Peer reviewed, 2019)
      Explainable recommendation, which provides explanations about why an item is recommended, has attracted growing attention in both research and industry communities. However, most existing explainable recommendation methods ...
    • Dynamic attention-integrated neural network for session-based news recommendation 

      Zhang, Lemei; Liu, Peng; Gulla, Jon Atle (Journal article; Peer reviewed, 2019)
      Online news recommendation aims to continuously select a pool of candidate articles that meet the temporal dynamics of user preferences. Most of the existing methods assume that all user-item interaction history are equally ...
    • Enhanced Location API 

      Krakeli, Marius; Midtsund, Martin Akre (Master thesis, 2013)
      Locations within news recommendation is a field with room for improvement. Location is not used by popular news recommendation applications on the market today, and while the location technology has evolved, the research ...
    • Evaluation of team dynamics in Norwegian projects for IT students 

      Ahmed, Salah Uddin; Sundbø, Ingrid; Kvisli, Jon; Gulla, Jon Atle; Jaccheri, Maria Letizia; Nguyen Duc, Anh (NIK;, Journal article; Peer reviewed, 2018)
      The need for teaching realistic software development in project courses has increased in a global scale. It has always been challenges in cooperating fast-changing software technologies, development methodologies and ...
    • Exploiting Latent Context for Effective Social Recommendation 

      Liu, Peng (Doctoral theses at NTNU;2020:250, Doctoral thesis, 2020)
      With the rapid proliferation of online social networks, the information overload problem becomes increasingly severe, and recommender systems play a critical role in helping online users discover useful information matching ...
    • Exploring pretrained word embeddings for multi-class text classification in Norwegian 

      Bjørndal, Sigrid Lofthus (Master thesis, 2019)
      Det har nylig blitt publisert flere ferdigtrente word embeddings, og en ny utvikling innen fagfeltet er bruken av kontesktualiserte word embeddings. Denne oppgaven utforsker en ferdigtrent, flerspråklig versjon av ...
    • Extracting Keyphrases from Individual News Articles 

      Lund, Kristian (Master thesis, 2011)
      Extraction of keyphrases from individual documents is a research area in which one try to extract a small set of keyphrases that describe the content of a single document. The advantages with this form of extraction is ...
    • Extracting Named Entities and Synonyms from Wikipedia for use in News Search 

      Bøhn, Christian (Master thesis, 2008)
      In news articles the focus on named entities is quite common and usually a news case is tied around a person, a company, or similar. One challenge from an information retrieval point of view is that one entity often have ...
    • Female Leadership in Software Projects—A Preliminary Result on Leadership Style and Project Context Factors 

      Nguyen Duc, Anh; Khodambashi, Soudabeh; Gulla, Jon Atle; Krogstie, John; Abrahamsson, Pekka Kalevi (SCI;volume 733, Journal article; Peer reviewed, 2018)
      Women have been shown to be effective leaders in many team-based situations. However, it is also well-recognized that women are underrepresented in engineering and technology areas, which leads to wasted efforts and a lack ...
    • Financial News Mining: - Extracting useful Information from Continuous Streams of Text 

      Lægreid, Tarjei; Sandal, Paul Christian (Master thesis, 2006)
      Online financial news sources continuously publish information about actors involved in the Norwegian financial market. These are often short messages describing temporal relations. However, the amount of information is ...
    • Financial News Mining:: Extracting useful Information from Continuous Streams of Text 

      Lægreid, Tarjei; Sandal, Paul Christian (Master thesis, 2006)
      Online financial news sources continuously publish information about actors involved in the Norwegian financial market. These are often short messages describing temporal relations. However, the amount of information is ...
    • Impact of Domain Knowledge in Time Series Forecasting of Oil and Gas Sensor Data 

      Grøneng, Sigurd; Bratvedt, Øyvind (Master thesis, 2018)
      Production of oil and gas is a complicated operation, and due to this complexity, the work is being closely monitored. Sensors mounted on platforms measure the current state of the system, with alarms indicating when values ...