Sökning: "Rekommendationssystem"

Visar resultat 36 - 40 av 106 uppsatser innehållade ordet Rekommendationssystem.

  1. 36. Finding time-based listening habits in users music listening history to lower entropy in data

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :John Magnusson; [2021]
    Nyckelord :Data mining; Clustering; Listening habits; Entropy.; Datautvinning; Klusteranalys; Lyssningsvanor; Entropi.;

    Sammanfattning : In a world where information, entertainment and e-commerce are growing rapidly in terms of volume and options, it can be challenging for individuals to find what they want. Search engines and recommendation systems have emerged as solutions, guiding the users. LÄS MER

  3. 37. Online networking and real-time interaction for musicians

    Master-uppsats, Uppsala universitet/Institutionen för informationsteknologi

    Författare :Ester Kylmänen; Emma Tysk; [2021]
    Nyckelord :Social Network for musicians; Networking; Musicians; Real-time Interaction; User Onboarding; Determine musical ability; Recommender System; Behaviour-Guiding Technology; Persuasive Design; Semi-strucured Interviews; Qualitative Research; Thematic Analysis; Human-Computer Interaction; HCI; User-Centered Design; UCD; User Experience design; UX-Design;

    Sammanfattning : Despite the many technological advancements made in the music industry in recent years, there is still not a single widely adopted platform for musicians to play music together online. In 2020, the Covid-19 pandemic and the subsequent quarantine pushed the need for such a platform into the spotlight. LÄS MER

  4. 38. Automatic Music Recommendation for Businesses : Using a two-stage Membership model for track recommendation

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Svante Haapanen Rollenhagen; [2021]
    Nyckelord :Deep Learning; Music Recommendation; Recommendation Systems; Music Informatics.; Djupinlärning; Musikrekommendation; Rekommendationssystem; Musikinformatik.;

    Sammanfattning : This thesis proposes a two-stage recommendation system for providing music recommendations based on seed playlists as inputs. The goal is to help businesses find relevant and brand-fit music to play in their venues. LÄS MER

  5. 39. Video Recommendation through Machine Learning in Amazon Web Services.

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Sajaval Choudrey; [2021]
    Nyckelord :;

    Sammanfattning : Machine learning is a field within Computer Science that is still growing. Finding innovative ways to utilise the potential of Machine learning is important for the future of many companies and service providers. LÄS MER

  7. 40. Performance Analysis of Various Activation Functions Using LSTM Neural Network For Movie Recommendation Systems

    Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Philip Song; André Brogärd; [2020]
    Nyckelord :;

    Sammanfattning : The growth of importance and popularity of recommendations system has increased in many various areas. This thesis focuses on recommendation systems for movies. Recurrent neural networks using LSTM blocks have shown some success for movie recommendation systems. LÄS MER