Sökning: "Recommendation algorithm"

Visar resultat 1 - 5 av 85 uppsatser innehållade orden Recommendation algorithm.

  1. 1. Optimizing ERP Recommendations Using Machine Learning Techniques

    Kandidat-uppsats, Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)

    Författare :Ante Jeremiah; [2023]
    Nyckelord :Machine Learning; Imbalanced;

    Sammanfattning : This study explores the application of a recommendation engine in collaboration with Fortnox. The primary focus of this paper is to find potential improvements for their recommendation engine in terms of accurate recommendation for users. LÄS MER

  3. 2. "Boys focus on girls, men focus on money" : En kvalitativ analys av maskulinitetsideal på TikTok

    Kandidat-uppsats, Umeå universitet/Institutionen för kultur- och medievetenskaper

    Författare :Oscar Cassel Rousu; Oscar Öjling; [2023]
    Nyckelord :TikTok; Discourses; Masculinity; Hegemony; Recommendation algorithm; Social media; Gender norms; TikTok; Diskurser; Maskulinitet; Hegemoni; Rekommendationsalgoritm; Sociala medier; Könsnormer;

    Sammanfattning : The significant growth of the social media platform TikTok over the past years has led to trends being evoked on the platform. One trend, of which this study explores, is content related to ideals of masculinity that includes how men can change themself to become successful and achieve wealth. LÄS MER

  4. 3. Order Matching Optimization : Developing and Evaluating Algorithms for Efficient Order Matching and Transaction Minimization

    Master-uppsats, Linköpings universitet/Produktionsekonomi

    Författare :Victor Jonsson; Adam Steen; [2023]
    Nyckelord :Order Matching; Mixed Integer Optimization; Minimum Common Integer Partition Problem; Algorithms; Call Auction Trading;

    Sammanfattning : This report aimed to develop algorithms for solving the optimization problem of matchingbuy and sell orders in call auctions while minimizing the number of transactions. The developed algorithms were evaluated based on their execution time and solution accuracy. LÄS MER

  5. 4. Sustainable Recipe Recommendation System: Evaluating the Performance of GPT Embeddings versus state-of-the-art systems

    Master-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Författare :Jaya Shankar Bandaru; Sai Keerthi Appili; [2023]
    Nyckelord :Sustainable Recipe Recommendation; Recommendation System; GPT-embeddings; PinSage; Factorization Machines;

    Sammanfattning : Background: The demand for a sustainable lifestyle is increasing due to the need to tackle rapid climate change. One-third of carbon emissions come from the food industry; reducing emissions from this industry is crucial when fighting climate change. LÄS MER

  7. 5. Incorporating Reinforcement Learning into Supervised Sequential Recommender Models

    Master-uppsats, Linköpings universitet/Statistik och maskininlärning

    Författare :Patrick Siegfried Hiemsch; [2023]
    Nyckelord :;

    Sammanfattning : In the context of the significant expansion of e-commerce, Recommender Systems have become important tools for businesses, enhancing customer engagement through the personalization of product recommendations. This thesis investigates the integration of Reinforcement Learning concepts  into Supervised Learning frameworks, aiming to foster more accurate, novel and diverse recommendations. LÄS MER