Sökning: "movie recommendation"

Visar resultat 1 - 5 av 20 uppsatser innehållade orden movie recommendation.

  1. 1. Exploring the Future of Movie Recommendations : Increasing User Satisfaction using Generative Artificial Intelligence Conversational Agents

    Master-uppsats, Umeå universitet/Institutionen för tillämpad fysik och elektronik

    Författare :Signe Bennmarker; [2023]
    Nyckelord :User centered design; Recommender systems; Natural language processing; Conversational agent; User satisfaction;

    Sammanfattning : This thesis explores potential strategies to enhance user control and satisfaction within the movie selection process, with a particular focus on the utilization of conversational generative artificial intelligence, such as ChatGPT, for personalized movie recommendations. The study adopts a qualitative user-centered design thinking approach, aiming to compre-hensively understand user needs, goals, and behavior. LÄS MER

  3. 2. Developing Machine Learning-based Recommender System on Movie Genres Using KNN

    Master-uppsats, Stockholms universitet/Institutionen för data- och systemvetenskap

    Författare :Anthony Ezeh; [2023]
    Nyckelord :: Movie Recommender System; Machine Learning; Content-based Filtering; Collaborative Filtering; KNN Algorithms; Classification Algorithm;

    Sammanfattning : With an overwhelming number of movies available globally, it can be a daunting task for users to find movies that cater to their individual preferences. The vast selection can often leave people feeling overwhelmed, making it challenging to pick a suitable movie. LÄS MER

  4. 3. Text Content Features for Hybrid Recommendations : Pre-trained Language Models for Better Recommendations

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

    Författare :Mariya Lazarova; [2021]
    Nyckelord :Recommendation Systems; Natural Language Processing; Pre-trained language models; BERT; Two-tower networks; Rekommendationssystem; Naturlig språkbehandling; Förtränande språkmodeller; BERT; Två-tornnätverk.;

    Sammanfattning : Nowadays, with the ever growing availability of options in many areas of our lives, it is crucial to have good ways to navigate your choices. This is why recommendation engines’ role is growing more important. Recommenders are often based on user-item interaction. LÄS MER

  5. 4. 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. 5. 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