Sökning: "Personalized recommendations"

Visar resultat 1 - 5 av 61 uppsatser innehållade orden Personalized recommendations.

  1. 1. The Impact of Trust, Loyalty and Price Value on Purchase Intentions for Consumer Durables in Sri Lanka and Pakistan

    Magister-uppsats, Högskolan i Gävle/Avdelningen för ekonomi

    Författare :Fahad Ayub; Buddika Mantilake; [2024]
    Nyckelord :Purchase Intentions; Consumer Durables; Trust; Loyalty; Price Value; Sri Lanka; Pakistan;

    Sammanfattning : This thesis investigates the nuanced factors influencing purchase intention and loyalty within the consumer durables markets of Sri Lanka and Pakistan. The study focus its attention on the trust and price value as main ingredients for purchase intention and loyalty while focusing on other environmental factors affecting consumer decision making efforts. LÄS MER

  3. 2. “OM DU VILL UPPLEVA ÄKTA KÄRLEK & FÅ DITT HJÄRTA KROSSAT” - En tematisk innehållsanalys av den svenska BookTok-gemenskapen på det sociala mediet TikTok

    Kandidat-uppsats, Göteborgs universitet/Institutionen för journalistik, medier och kommunikation

    Författare :Louise Lindquist; Alva Lundmark; Tuva Rosén; [2023-03-10]
    Nyckelord :Sociala medier; TikTok; BookTok; Bokgemenskap; Läsaridentitet; Bokläsning; Performativity Theory; Social Worlds;

    Sammanfattning : Executive summary Today Swedish youth are increasingly spending more time on social media meanwhile the degree of book reading is decreasing. This development has led to negative consequences like inferior performance amongst Swedish students. LÄS MER

  4. 3. 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

  5. 4. 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

  7. 5. Recommender Systems Using Limited Dataset Sizes

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

    Författare :Carl Bentzer; Harry Thulin; [2023]
    Nyckelord :;

    Sammanfattning : In order to create personalized recommendations for users on services such as e-commerce websites and streaming platforms, recommender systems often utilize various machine learning techniques. A common technique used in recommender systems is collaborative filtering which creates rating predictions based on similar users’ interests. LÄS MER