Sökning: "Recommendation system"

Visar resultat 11 - 15 av 584 uppsatser innehållade orden Recommendation system.

  1. 11. Product Recommendation System using Sentiment Analysis on E-Commerce Application

    Kandidat-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Författare :Yuktha Mullagura; [2023]
    Nyckelord :;

    Sammanfattning : .... LÄS MER

  3. 12. 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. 13. 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

  5. 14. Development of a Hydraulic Front Wheel Drive for a Battery Electric Truck

    Master-uppsats, Linköpings universitet/Fluida och mekatroniska system

    Författare :Johan Humla; Samuel Friman; [2023]
    Nyckelord :;

    Sammanfattning : This master thesis work has been executed at Volvo GTT in Gothenburg. Focus has beenlaid on implementing a hydraulic front wheel drive (HFWD) system on a battery electricvehicle (BEV). The earlier concept builds have been performed on internal combustionengine (ICE) driven trucks at Volvo Trucks. LÄS MER

  7. 15. Personalized Investment Recommendations Using Recommendation Systems

    Magister-uppsats, Lunds universitet/Nationalekonomiska institutionen

    Författare :Lorik Sadriu; [2023]
    Nyckelord :Recommendation systems; Deep learning; Institutional investors; Investment decision-making; Mean-variance spanning test; Cross-Selling; Business and Economics;

    Sammanfattning : This paper presents a Deep Learning-based Hybrid Recommendation System (DLHR) designed specifically for institutional investors with public portfolio holdings on the Stockholm Stock Exchange. The objective is to provide personalized investment recommendations, complement existing portfolios, and explore untapped cross-selling opportunities. LÄS MER