Essays about: ": Movie Recommender System"

Showing result 1 - 5 of 17 essays containing the words : Movie Recommender System.

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

    University essay from Stockholms universitet/Institutionen för data- och systemvetenskap

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

    Abstract : 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. READ MORE

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

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

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

    Abstract : 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. READ MORE

  4. 3. Video Recommendation through Machine Learning in Amazon Web Services.

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Sajaval Choudrey; [2021]
    Keywords : ;

    Abstract : 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. READ MORE

  5. 4. Predicting movie Ratings using KNN

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Moa Andersson; Lisa Tran; [2020]
    Keywords : ;

    Abstract : Many services provide recommendations for their users in order for them to easily find relevant information. Thus, the development of recommender systems is important for these services to constantly improve. With the integration of new technology, it is common to implement recommender systems with the use of machine learning algorithms. READ MORE

  6. 5. Improving movie recommendations through social media matching

    University essay from Malmö universitet/Fakulteten för teknik och samhälle (TS)

    Author : Roman Kuroptev; Anton Lagerlöf; [2019]
    Keywords : Twitter; Collaborative filtering; Recommender systems; LSI; Top k; Social-matching;

    Abstract : Rekommendationssystem är idag väsentliga för att navigera den enorma mängd produkter tillgängliga via internet. Då social media i form av Twitter vid tidigare tillfällen använts för att generera filmrekommendationer har detta främst varit för att hantera cold-start, ett vanligt drabbande problem för collaborative-filtering. READ MORE