Sökning: "Content-based clustering"

Visar resultat 1 - 5 av 6 uppsatser innehållade orden Content-based clustering.

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

3. 2. Improving Food Recipe Suggestions with Hierarchical Classification of Food Recipes

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

   Författare :Pedram Fathollahzadeh; [2018]
   Nyckelord :collaborative filtering; content-based method; matrix factorization; recommender systems; hierarchical classification; food recipes;

   Sammanfattning : Making personalized recommendations has become a central part in many platforms, and is continuing to grow with more access to massive amounts of data online. Giving recommendations based on the interests of the individual, rather than recommending items that are popular, increases the user experience and can potentially attract more customers when done right. LÄS MER

4. 3. A Comparison of Clustering the Swedish Political Twittersphere Based on Social Interactions and on Tweet Content

   Kandidat-uppsats, KTH/Skolan för datavetenskap och kommunikation (CSC)

   Författare :Thomas Vakili; [2016]
   Nyckelord :;

   Sammanfattning : This thesis evaluates and compares two different clustering strategies for clustering users in Sweden’s political Twittersphere: clustering based on tweet content and clustering based on social interactions data. Users were detected by filtering a stream of tweets filtered on a list of politically charged keywords. LÄS MER

5. 4. User Behavior Analysis and Prediction Methods for Large-scale Video-on- demand System

   Master-uppsats, Uppsala universitet/Institutionen för informationsteknologi

   Författare :Huimin Zhang; [2015]
   Nyckelord :;

   Sammanfattning : Video-on-demand (VOD) systems are some of the best-known examples of 'next-generation' Internet applications. With their growing popularity, huge amount of video content imposes a heavy burden on Internet traffic which, in turns, influences the user experience of the systems. LÄS MER

7. 5. Product Recommendations in E-commerce Systems using Content-based Clustering and Collaborative Filtering

   Master-uppsats, Lunds universitet/Matematisk statistik

   Författare :Linda Hansson; [2015]
   Nyckelord :Collaborative filtering; Content-based clustering; Recommender systems; Mathematics and Statistics;

   Sammanfattning : In this report we take a new approach to product recommendation. We investigate the the possibility of using a hybrid recommender consisting of contentbased clustering and connections between clusters using collaborative filtering to make good product recommendations. LÄS MER