Sumários

Recommender Systems (cont.)

12 dezembro 2019, 14:00 • João Miguel Cordeiro Monteiro

  • Python and pen and paper exercises about recommender systems

Recommendation Systems (cont.)

6 dezembro 2019, 12:30 • Bruno Emanuel Da Graça Martins

  • Collaborative Filtering
    • Mitigating the Cold Start Problem
    • Collaborative Filtering with SVD
  • Content-Based Filtering
    • Methods Based on Nearest Neighbors
    • Rocchio’s Method
    • Other Methods (e.g., Classifiers)
  • Knowledge-based Recommendation
  • Hybrid Strategies
    • Monolithic Exploiting Different Features 
    • Parallel Use of Several Systems
    • Pipelined/Cascaded Invocation of Different Systems
  • Other Topics (e.g., Explanations, Evaluation, etc.)

Recommendation Systems (cont.)

6 dezembro 2019, 12:30 • Bruno Emanuel Da Graça Martins

  • Collaborative Filtering
    • Mitigating the Cold Start Problem
    • Collaborative Filtering with SVD
  • Content-Based Filtering
    • Methods Based on Nearest Neighbors
    • Rocchio’s Method
    • Other Methods (e.g., Classifiers)
  • Knowledge-based Recommendation
  • Hybrid Strategies
    • Monolithic Exploiting Different Features 
    • Parallel Use of Several Systems
    • Pipelined/Cascaded Invocation of Different Systems
  • Other Topics (e.g., Explanations, Evaluation, etc.)

Lab 09 - Recommender Systems

6 dezembro 2019, 11:00 • Danielle Caled Vieira

Pen and paper exercises:

  • Pearson correlation for the similarity between users;
  • Cosine for the similarity between items;
  • Ratings predictions.
Support to the Course Project.

Lab 09 - Recommender Systems

6 dezembro 2019, 09:30 • Danielle Caled Vieira

Pen and paper exercises:

  • Pearson correlation for the similarity between users;
  • Cosine for the similarity between items;
  • Ratings predictions.
Support to the Course Project.