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Showing result 11 - 15 of 16 essays matching the above criteria.
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11. Evaluating Prediction Accuracy for Collaborative Filtering Algorithms in Recommender Systems
University essay from KTH/Skolan för datavetenskap och kommunikation (CSC)Abstract : Recommender systems are a relatively new technology that is commonly used by e-commerce websites and streaming services among others, to predict user opinion about products. This report studies two specific recommender algorithms, namely FunkSVD, a matrix factorization algorithm and Item-based collaborative filtering, which utilizes item similarity. READ MORE
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12. Analyzing user behavior and sentiment in music streaming services
University essay from KTH/Skolan för datavetenskap och kommunikation (CSC)Abstract : These last years, streaming services (for music, podcasts, TV shows and movies) have been under the spotlight by disrupting traditional media consumption platforms. If the technical implications of streaming huge amounts of data are well researched, much remains to be done to analyze the wealth of data collected by these services and exploit it to its full potential in order to improve them. READ MORE
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13. Exploring drawbacks in music recommender systems : the Spotify case
University essay from Högskolan i Borås/Akademin för bibliotek, information, pedagogik och ITAbstract : Currently, more and more people use music streaming websites to listen to music, and a music recommendation service is commonly provided on the music streaming websites. A good music recommender system improves people’s user experience of music streaming websites. READ MORE
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14. Learning Playlist Representations for Automatic Playlist Generation
University essay from KTH/Skolan för datavetenskap och kommunikation (CSC)Abstract : Spotify is currently the worlds leading music streaming ser-vice. As the leader in music streaming the task of providing listeners with music recommendations is vital for Spotify. READ MORE
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15. Extending recommendation algorithms bymodeling user context
University essay from KTH/Skolan för datavetenskap och kommunikation (CSC)Abstract : Recommender systems have been widely adopted by onlinee-commerce websites like Amazon and music streaming services like Spotify. However, most research efforts have not sufficiently considered the context in which recommendations are made, especially when the input is implicit. READ MORE
