Sökning: "Random Indexing"

Visar resultat 1 - 5 av 21 uppsatser innehållade orden Random Indexing.

  1. 1. Assessing the Viability of Random Indexing in Song Recommender Systems

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

    Författare :Erik Rosén; Sead Kozic; [2023]
    Nyckelord :;

    Sammanfattning : 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. LÄS MER

  3. 2. GROCERY PRODUCT RECOMMENDATIONS : USING RANDOM INDEXING AND COLLABORATIVE FILTERING

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

    Författare :Axel Orrenius; Axel Wiebe Werner; [2022]
    Nyckelord :Alternating Least Squares; Collaborative Filtering; Machine Learning; Random Indexing; Rapid-Delivery; Product Recommendations;

    Sammanfattning : The field of personalized product recommendation systems has seen tremendous growth in recent years. The usefulness of the algorithms’ abilities to filter out data from vast sets has been shown to be crucial in today’s information-heavy online experience. LÄS MER

  4. 3. A comparative study of word embedding methods for early risk prediction on the Internet

    Master-uppsats, Uppsala universitet/Institutionen för lingvistik och filologi

    Författare :Elena Fano; [2019]
    Nyckelord :machine learning; deep neural networks; eRisk; early risk prediction; mental health;

    Sammanfattning : We built a system to participate in the eRisk 2019 T1 Shared Task. The aim of the task was to evaluate systems for early risk prediction on the internet, in particular to identify users suffering from eating disorders as accurately andquickly as possible given their history of Reddit posts in chronological order. LÄS MER

  5. 4. Analysis of similarity and differences between articles using semantics

    Kandidat-uppsats, Mälardalens högskola/Akademin för innovation, design och teknik

    Författare :Ahmed Bihi; [2017]
    Nyckelord :Natural language processing; similarity; semantic analysis; computer science;

    Sammanfattning : Adding semantic analysis in the process of comparing news articles enables a deeper level of analysis than traditional keyword matching. In this bachelor’s thesis, we have compared, implemented, and evaluated three commonly used approaches for document-level similarity. LÄS MER

  7. 5. The Use of Distributional Semantics in Text Classification Models : Comparative performance analysis of popular word embeddings

    Master-uppsats, Linköpings universitet/Datorseende

    Författare :Tobias Norlund; [2016]
    Nyckelord :distributional semantics; text classification; cnn;

    Sammanfattning : In the field of Natural Language Processing, supervised machine learning is commonly used to solve classification tasks such as sentiment analysis and text categorization. The classical way of representing the text has been to use the well known Bag-Of-Words representation. LÄS MER