Blar i NTNU Open på forfatter "Ramampiaro, Herindrasana"

Viser treff 41-60 av 69

    • Instant Search Using Query Expansion with Pseudo-Relevance 

      Lund, Jonatan (Master thesis, 2017)
      Todays web services generate large amounts of data. Users expect these services to have a search which returns relevant search results instantaneously. Term frequency-inverse document frequency (TF-IDF) is a common technique ...

    • Instant, Personalized Search Recommendation 

      Rudihagen, Juul Arthur R (Master thesis, 2016)
      Personalization has proven to be a useful method in helping users find relevant items and documents. More and more digital stores implement some form of personalization to help users find products. Even though there are a ...

    • K-Anonymity as a Service for Mobility Analytics - Optimizing the value of k in case of k-anonymity 

      Mangelrød, Guro Karine; Haugerud, Balder Riiser (Master thesis, 2018)
      The mobile network operators collect data from mobile communication networks about their users. The data collected is referred to as mobility data and contains the user's spatial positions within the network over time. A ...

    • Knowledge Base Acceleration Using Features Inspired by Collaborative Filtering 

      Weggersen, Benjamin; Weggersen, Sam Mathias (Master thesis, 2017)
      Most of us use knowledge bases every day, whether it is Wikipedia, Netflix, an online newspaper or a dictionary. These knowledge bases contain both timeless and up-to-date information and must be updated continuously. A ...

    • Neural networks for sentiment analysis in AsterixDB 

      Finckenhagen, Johan Morten Kristoffer (Master thesis, 2018)
      As data is generated at an ever increasing rate, and social media are getting larger and more comprehensive than ever, the availability of these data and the possibility to analyze them, is growing as well. The capability ...

    • Nucleotide Sequence Similarity Search Using Techniques from Content-Based Image Retrieval 

      Lysne, Eivind (Master thesis, 2015)
      The amount of DNA data continues to increase exponentially as a result of high- throughput next generation sequencing. Current state-of-the-art tools for nucleotide sequence similarity search are not equipped to deal with ...

    • Object Detection in Skijumping 

      Solberg, Viktor Grøndalen (Master thesis, 2021)
      I løpet av de siste årene har kunstig intelligens og spesielt dyp læring mottatt en voldsom økning av oppmerksomhet. Dette har i kombinasjon med stadig kraftigere maskinvare og lettere tilgang på store datamengder ført til ...

    • Optimal Information Retrieval Model for Molecular Biology Information 

      Paulsen, Jon Rune (Master thesis, 2007)
      Search engines for biological information are not a new technology. Since the 1960s computers have emerged as an important tool for biologists. Online Mendelian Inheritance in Man (OMIM) is a comprehensive catalogue ...

    • Optimale IR metoder og teknikker for clustring av biomedisinske forskningsdata 

      Sletteng, Silje (Master thesis, 2007)
      Hvilke metoder finnes for å effektivisere IR i fagfeltet biomedisin? Hvordan påvirker fagfeltets særtrekke disse metodene?

    • Patient friendly Presentation of Electronic Patient Records 

      Stallemo, Kjetil (Master thesis, 2008)
      Reading an electronic patient record (EPR) is a very challenging task because of the medical jargons, which are almost impossible to understand for the layman. This becomes a highly relevant challenge because of the more ...

    • A privacy aware recommendation system for Android apps 

      Schive, Wilhelm Walberg (Master thesis, 2015)
      Recommender systems are an increasingly popular in e-commerce today. Companies such as Netflix and Amazon relies on them to create an ever increasing portion of their income. These systems often comes at the price of ...

    • Ranking and clustering of search results: Analysis of Similarity graph 

      Shevchuk, Ksenia Alexander (Master thesis, 2008)
      Evaluate the clustering of the similarity matrix and confirm that it is high. Compare the ranking results of the eigenvector ranking and the Link Popularity ranking and confirm for the high clustered graph the correlation ...

    • Recommendation of Attractions and Activities - Using Collaborative Filtering and Implicit Feedback 

      Mogstad, Magnus Settemsli; Storvold, John-Olav (Master thesis, 2016)
      Recommendation systems are becoming more and more popular and are introduced to new domains all of the time. Therefore, the purpose of this master's thesis is to investigate if a recommender system into the domains of ...

    • Recommending activities for refugees in Norway 

      Kopstad, Henriette Vanvik (Master thesis, 2017)
      The influx of asylum seekers and refugees, especially in recent times, has caused a bottleneck in Utlendingsdirektoratet (UDI)'s application process, leading to long waiting periods for their work and residency permits. ...

    • Scaling Machine Learning Methods to Big Data Systems 

      Abrahamsen, Thor Martin (Master thesis, 2017)
      As the world is becoming more digital, an increasing amount of data is generated that could provide industries with valuable insight to make their products or services better for customers as well as employees. To unlock ...

    • Search engine for biological information focusing on literature describing genes 

      Silden, Thor Henden (Master thesis, 2006)
      The amount of information available in biological literature is extremely large and still grows. Because of this vast amount of information, it it difficult to extract specific knowledge and discover new links between ...

    • Search Result Reranking Using Clustering 

      Yeboah, Stephen (Master thesis, 2011)
      Information Retrieval is a research area that has gained attention over thepast two decades. Few of these researches have taken place in the biomed-ical domain where satisfying users information needs are relatively ...

    • Searching Biomedical Text: Towards Maximum Relevant Results 

      Galde, Ola; Sevaldsen, John Harald (Master thesis, 2006)
      The amount of biomedical information available to users today is large and increasing. The ability to precisely retrieve desired information is vital in order to utilize available knowledge. In this work we investigated ...

    • Searching for, and identifying Protein Information in the Literature 

      Klæboe, Espen (Master thesis, 2010)
      As research papers grow in volume and in quantity, there is still to this day, a hassle to locate desired articles based on specific protein names and/or Protein-Protein-Interactions. This is due to the everlasting problem ...

    • Sentiment Analysis on User-Based Reviews: Movie Recommendation Case 

      Thunestveit, Aina Elisabeth (Master thesis, 2016)
      Many people use the Internet as a place for seeking opinions. With the increasing amount of user-based content on the web, there has been an emergence of research fields that uses sentiment analysis to take advantage of, ...