Sökning: "recommender system"

Visar resultat 1 - 5 av 126 uppsatser innehållade orden recommender system.

  1. 1. An Empirical Survey of Bandits in an Industrial Recommender System Setting

    Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknik

    Författare :Tobias Schwarz; Johan Brandby; [2023-09-21]
    Nyckelord :computer science; industrial application; machine learning; reinforcement learning; multi-armed bandits; MAB; contextual multi-armed bandits; survey; batch learning;

    Sammanfattning : In this thesis, the effects of incorporating unstructured data—images in the wild—in contextual multi-armed bandits are investigated, when used within a recommender system setting, which focuses on picture-based content suggestion. The idea is to employ image features, extracted by a pre-trained convolutional neural network, and study the resulting bandit behaviors when including respective excluding this information in the typical context creation, which normally relies on structured data sources—such as metadata. LÄS MER

  3. 2. Context-Aware Fashion Recommender Systems to Provide Intent-based Recommendations to Customers

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

    Författare :Edda Waciira; Marah Thomas; [2023]
    Nyckelord :e-commerce; Fashion Recommendation Systems; Machine Learning; Recommendation Systems;

    Sammanfattning : In recent years, Recommendation Systems have revolutionized how social media and ecommerce are used. Fashion Recommendation Systems have made it easier for customers to do shopping, by recommending items to them based on various factors, such as their previous orders, and their similarities to other users. LÄS MER

  4. 3. Designing Diverse Features to Reduce the Filter Bubble Effect on Social Media

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

    Författare :Ramya Kandula; [2023]
    Nyckelord :Filter bubbles; recommender systems; diversity; social media; filter bubblor; rekommenderande system; mångfald; sociala medier;

    Sammanfattning : The filter bubble effect has been an active area of research that has been explored in various contexts within social media. Research on recommender system designs within filter bubbles has received a lot of attention, mainly due to its impact on the phenomena. LÄS MER

  5. 4. Integrating Machine Learning into Constraint Programming for Radio Recommendation in Radio Access Networks

    Master-uppsats, Umeå universitet/Institutionen för datavetenskap

    Författare :José Ruiz Alarcón; [2023]
    Nyckelord :;

    Sammanfattning : This thesis introduces an approach for integrating Machine Learning into Constraint Programming for recommender systems. The main idea is to use clustering algorithms to divide the data into groups, which we use to derive objective functions that are used in a constraint solver. LÄS MER

  7. 5. Rekommendationssystemet i centrum : En designstudie om hur förklaringar kan stötta reflektion kring förtroende för rekommendationssystem på sociala medier

    Kandidat-uppsats, Högskolan i Halmstad/Akademin för informationsteknologi

    Författare :Alfvar Arvidsson; Moa Lundgren; [2023]
    Nyckelord :Recommender systems; explanations; trust; social media; Rekommendationssystem; förklaringar; förtroende; sociala medier;

    Sammanfattning : Rekommendationssystem (RS) implementeras på sociala medier för att filtrera information. RS följs av risker, som att användare endast blir exponerade för innehåll som överensstämmer med egna åsikter, vilket bland annat kan resultera i ojämlik tillgång till kritisk information. LÄS MER