Sökning: "Content-based filtering"

Visar resultat 16 - 20 av 35 uppsatser innehållade orden Content-based filtering.

  1. 16. Personal news video recommendations based on implicit feedback : An evaluation of different recommender systems with sparse data

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

    Författare :Morgan Andersson; [2018]
    Nyckelord :Information Filtering; Recommender Systems; News Videos; Content-Based Filtering; Collaborative Filtering; Hybrid Filtering;

    Sammanfattning : The amount of video content online will nearly triple in quantity by 2021 compared to 2016. The implementation of sophisticated filters is of paramount importance to manage this information flow. The research question of this thesis asks to what extent it is possible to generate personal recommendations, based on the data that news videos implies. LÄS MER

  3. 17. Fördelar med att applicera Collaborative Filtering på Steam : En utforskande studie

    Kandidat-uppsats, Högskolan i Borås/Akademin för bibliotek, information, pedagogik och IT

    Författare :Martin Bergqvist; Jim Glansk; [2018]
    Nyckelord :Collaborative filtering; Content-based filtering; Recommender systems; Steam; Computer Science; Machine learning; Information retrieval; Collaborative filtering; Content-based filtering; Rekommendationssystem; Steam; Datorvetenskap; Maskininlärning; Informationssökning;

    Sammanfattning : Rekommendationssystem används överallt. På populära plattformar såsom Netflix och Amazon får du alltid rekommendationer på vad som är nästa lämpliga film eller inköp, baserat på din personliga profil. Detta sker genom korsreferering mellan användare och produkter för att finna sannolika mönster. LÄS MER

  4. 18. Improving Food Recipe Suggestions with Hierarchical Classification of Food Recipes

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

    Författare :Pedram Fathollahzadeh; [2018]
    Nyckelord :collaborative filtering; content-based method; matrix factorization; recommender systems; hierarchical classification; food recipes;

    Sammanfattning : Making personalized recommendations has become a central part in many platforms, and is continuing to grow with more access to massive amounts of data online. Giving recommendations based on the interests of the individual, rather than recommending items that are popular, increases the user experience and can potentially attract more customers when done right. LÄS MER

  5. 19. Video Recommendation Based on Object Detection

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen för systemteknik

    Författare :Selma Nyberg; [2018]
    Nyckelord :Spotify; Machine Learning; Artificial Intelligence; Recommender Systems; Content-Based Filtering; Collaborative Filtering; Hybrid Filtering; Deep Learning; Image Recognition; Object Detection; Natural Language Processing; Paragraph Vectors; Doc2Vec; TensorFlow; Classification; K-Nearest Neighbors; Cross-Validation;

    Sammanfattning : In this thesis, various machine learning domains have been combined in order to build a video recommender system that is based on object detection. The work combines two extensively studied research fields, recommender systems and computer vision, that also are rapidly growing and popular techniques on commercial markets. LÄS MER

  7. 20. An approach to a Multi-Category Recommendation System using Machine Learning : With the caveat of having limited knowledge in related areas

    M1-uppsats, KTH/Hälsoinformatik

    Författare :Ludwig Kamras; William Matslova; [2018]
    Nyckelord :;

    Sammanfattning : Machine learning is one of many buzz words in todays tech-world. Huge company resources are allocated to the field in order to discover its potential. Everything from cameras to cars tries to use this technology. LÄS MER