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EE219

Project 3: Collabrative Filtering

  • Build a recommendation system to predict the ratings of the movies in the MovieLens dataset.
  • implement and analyze the performance of two types of methods:
    • Model-based collaberative filtering
    • Neighborhood-based collaborative filtering

Project 4: Regression Analysis

Project 5: Popularity Prediction on Twitter

  • knowing current (and previous) tweet activity for a hashtag, can we predict its tweet activity in the future?
  • The available Twitter data is collected by querying popular hashtags related to the 2015 Super Bowl spanning a period starting from 2 weeks before the game to a week after the game.
  • We will use data from some of the related hashtags to train a regression model and then use the model to make predictions for other hashtags.
  • Design custom topics