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

Viser treff 21-40 av 85

    • Explaining fake news 

      Ulvund, Leif (Master thesis, 2021)
      Dagens nyhetsbilde står forran en stor utfordring på grunn av mengden falske nyheter som florerer. Selv om en nyhetsartikkel kan bli automatisk detektert som falsk er det fremdeles vanskelig å forklare forskjellen mellom ...

    • 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 Multifaced User Modelling in Textual Data Streams 

      Zhang, Lemei (Doctoral theses at NTNU;2021:380, Doctoral thesis, 2021)
      User modelling technologies play an important role in the success of many online applications such as recommender systems. However, it is far from enough to solve the cold-start issue and data sparsity problem commonly ...

    • 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 ...

    • Investigating contextual ontologies and document corpus characteristics for information access in engineering settings 

      Mehrpoor, Mahsa; Ahlers, Dirk; Gulla, Jon Atle; Kristensen, Kjetil; Sivertsen, Ole Ivar (Journal article; Peer reviewed, 2017)
      Knowledge and information are valuable resources in enterprises for solution reuse. However, identifying relevant information from a rapidly growing number of unstructured resources is challenging for users. We discuss a ...

    • Knowledge exploration in public linked data ontologies 

      Albert, Espen (Master thesis, 2017)
      The internet is constantly expanding across millions of web pages. Using the internet effectively is a hard skill to learn both for humans and machines. The Semantic Web is an attempt to standardize the data across the web ...

    • Konseptekstraksjon fra store dokumentsamlinger 

      Løkse, Svein Ola (Master thesis, 2005)
      Konseptekstraksjon er ingen ny teknologi. Den har eksistert helt siden 60-tallet, da man først begynte å digitalisere tekstlig informasjon for lagring og gjenfinning. I de siste årene har det oppstått fornyet interesse for ...

    • Large-Scale User Click Analysis in News Recommendation 

      Nilsen, John Eirik Bjørhovde (Master thesis, 2013)
      The Internet and the World Wide Web have taken over as the standard reading and finding news. This makes it possible for news readers to carefully choose the news that is most interesting for them. Due to the large amounts ...

    • Learning multi-granularity dynamic network representations for social recommendation 

      Liu, Peng; Zhang, Lemei; Gulla, Jon Atle (Journal article; Peer reviewed, 2019)
      With the rapid proliferation of online social networks, personalized social recommendation has become an important means to help people discover useful information over time. However, the cold-start issue and the special ...

    • Leveraging Natural Language Processing in Data Synthesis for use in Entity Matching 

      Nilsen, Daniel; Simmersholm, Aleksander (Master thesis, 2022)
      Entity Matching (EM) er en vanskelig oppgave som tidligere måtte bli utført manuelt. Metoder som benytter Kunstig Intelligens har siden blitt utviklet for å automatisere denne prosessen, men for å prestere bra er de avhengig ...

    • Leveraging Natural Language Processing in Data Synthesis for use in Entity Matching 

      Nilsen, Daniel; Simmersholm, Aleksander (Master thesis, 2022)
      Entity Matching (EM) er en vanskelig oppgave som tidligere måtte bli utført manuelt. Metoder som benytter Kunstig Intelligens har siden blitt utviklet for å automatisere denne prosessen, men for å prestere bra er de avhengig ...

    • Mining Online Text Data for Sentiment and News Impact Analysis 

      Wei, Wei (Doctoral Theses at NTNU, 1503-8181; 2013:256, Doctoral thesis, 2013)
      As continuous growth of Internet, an ever increasing amount of information becomesavailable on the World Wide Web (WWW). Information on the WWW has never been soexploded that search engines using traditional keyword-based ...

    • Mobile Applications Mobility 

      Salimi, Neberd; Ghoreshi, Amir Hossein (Master thesis, 2014)
      The use of mobile devices and mobile applications has soared in recent years. People are using mobile devices and applications for everyday tasks. Compared with desktop computers, smart phones have some limitations such ...

    • Mobile Apps Mobility: An evaluation of HTML5 for cross-platform development 

      Oustad, Hanne (Master thesis, 2013)
      In recent years, there hasbeen a growing interest in cross-platform development and HTML5 as adevelopment tool. The possibility for developers to code once and run onmultiple platforms could decrease development costs and ...