Essays about: "Recommender Systems"

Showing result 11 - 15 of 136 essays containing the words Recommender Systems.

  1. 11. Help Document Recommendation System

    University essay from Malmö universitet/Fakulteten för teknik och samhälle (TS)

    Author : Keerthi Vijay Kumar; Pinky Mary Stanly; [2023]
    Keywords : 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;

    Abstract : 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. READ MORE

  3. 12. Developing Machine Learning-based Recommender System on Movie Genres Using KNN

    University essay from Stockholms universitet/Institutionen för data- och systemvetenskap

    Author : Anthony Ezeh; [2023]
    Keywords : : Movie Recommender System; Machine Learning; Content-based Filtering; Collaborative Filtering; KNN Algorithms; Classification Algorithm;

    Abstract : With an overwhelming number of movies available globally, it can be a daunting task for users to find movies that cater to their individual preferences. The vast selection can often leave people feeling overwhelmed, making it challenging to pick a suitable movie. READ MORE

  4. 13. Assessing the Viability of Random Indexing in Song Recommender Systems

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Erik Rosén; Sead Kozic; [2023]
    Keywords : ;

    Abstract : This thesis assesses how Random Indexing performs as a recommender system for music recommendations. Recommender systems have gotten more and more important as the amount of content provided gets larger and larger. They are usually focused on either product traits, and how they relate, or users and their past consumption. READ MORE

  5. 14. Ingredient-based Group Recommender for Recipes (IGR2)

    University essay from Göteborgs universitet/Institutionen för data- och informationsteknik

    Author : John Lindblad; Jonas Meddeb; [2022-02-16]
    Keywords : recommender systems; data science; user-generated content; contentbased filtering; singular value decomposition; recipes; food; group recommender systems;

    Abstract : The number of food recipe options in modern society is vast and growing. While often being considered positive, the abundant options also lead to the so-called paradox of choice, i.e. that more options can lead to less happiness. READ MORE

  6. 15. IS THE FUTURE OF BEAUTY PERSONALIZED? : CASE STUDY FOR MICROBIOME SKINCARE BRAND SKINOME

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Santa Daniela Kanaska; [2022]
    Keywords : personalization; beauty tech; Artificial Intelligence; Recommender systems; AI ethics; data security; teknik för personliga hudvårdsråd; skönhetsteknik; Artificiell Intelligens; Rekommendationssystem; AI-etik; datasäkerhet;

    Abstract : The researcher takes a user-centric empirical approach to estimate different consumer group participant views on the personalization technology adoption within the skincare industry. In addition, the study aims to highlight the main identified opportunities and concerns that users associate with the personalized technology solutions within the industry, such as skincare and product quizzes, in-depth questionnaires, smart skin analysis tools, and others. READ MORE