Browsing Department of Information Science and Media Studies by Subject "recommender systems"
Now showing items 1-4 of 4
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Divide and Control: Evaluating Controllability in Multi-lists Presentation of Recommendations
(Master thesis, 2020-12-18) -
Explanations in Music Recommender Systems in a Mobile Setting
(Master thesis, 2020-09-18)Every day, millions of users utilize their mobile phones to access music streaming services such as Spotify. However, these `black boxes’ seldom provide adequate explanations for their music recommendations. A systematic ... -
Multi-list Food Recommender Systems for Healthier Choices
(Master thesis, 2021-06-01)Recipe websites are a popular destination for home cooks to discover new recipes and find what to cook. However, the most popular way of recommending recipes to users is trough similarity and popularity-based recommendations, ... -
Video Recommendations Based on Visual Features Extracted with Deep Learning
(Master thesis, 2021-06-01)When a movie is uploaded to a movie Recommender System (e.g., YouTube), the system can exploit various forms of descriptive features (e.g., tags and genre) in order to generate personalized recommendation for users. However, ...