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  1. 1. 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