Sökning: "Hybrid Filtering"

Visar resultat 1 - 5 av 30 uppsatser innehållade orden Hybrid Filtering.

  1. 1. 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

  3. 2. Help Document Recommendation System

    Master-uppsats, Malmö universitet/Fakulteten för teknik och samhälle (TS)

    Författare :Keerthi Vijay Kumar; Pinky Mary Stanly; [2023]
    Nyckelord :Document similarity; Recommender systems; content-based filtering; collaborative filtering; Term Frequency-Inverse Document Frequency TF-IDF ; Bidirectional Encoder Representation from Transformers BERT ; Non-Negative Matrix Factorisation NMF ; cosine similarity; K-means clustering;

    Sammanfattning : Help documents are important in an organization to use the technology applications licensed from a vendor. Customers and internal employees frequently use and interact with the help documents section to use the applications and know about the new features and developments in them. LÄS MER

  4. 3. Improving a Background Model for Tracking and Classification of Objects in LiDAR 3D Point Clouds

    Master-uppsats, Lunds universitet/Matematik LTH

    Författare :Seamus Doyle; Gustav Nilsson; [2022]
    Nyckelord :LiDAR; Semantic Segmentation; Neural Networks; RandLA-NET; 3D Point Cloud; Gaussian Process Regression; Robust Locally Weighted Regression; CARLA; Ground Model; Technology and Engineering;

    Sammanfattning : This thesis studied methods of improving a background model for a data processing pipeline of LiDAR point clouds. For this, two main approaches were evaluated. The first was to implement and compare three different models for detecting ground in a point cloud. These were based on more classical modeling approaches. LÄS MER

  5. 4. Using Recommendation Engines to Improve the userexperience in a Cloud Analytic Solution

    Master-uppsats, Uppsala universitet/Institutionen för informationsteknologi

    Författare :Muhammad Ishfaq; [2022]
    Nyckelord :;

    Sammanfattning : Recommender systems have become an integral part of everyday human life because of tworeasons: addressing the issue of information filtering in the world of big data which limits therecommendation engine’s capabilities, and improving user experience by helping the userswhat users want. It is very often that users are unable to find preferred results with a simplequery or are unaware that even if it exits. LÄS MER

  7. 5. Recommendation systems for recruitment within an educational context

    Kandidat-uppsats, Malmö universitet/Fakulteten för teknik och samhälle (TS)

    Författare :Gustaf Lagerqvist; Anton Stålhandske; [2021]
    Nyckelord :Recommendation systems; Artificial intelligence; Machine learning; Recruitment process; System architecture; Soft skills; Education;

    Sammanfattning : Alongside the evolution of the recruitment process, different types of recommendation systems have been developed. The purpose of this study is to investigate recommendation systems within educational contexts, successful implementations of recommendation system architecture patterns, and alternatives to previous experience when evaluating candidates. LÄS MER