Published 2015 | Version v2
Journal article

A Movie Recommender System from Tweets Data

Description

Description

Nowadays, we are living in an age of recommendation. Amazon stays ahead of the curve in the eCommence industry by personalized recommendation of items shoppers might like based on past orders; Google news generates click through rates by showing relevant content to readers; TripAdvisor provides different hotel rankings for different users; Last.fm displays "Play your recommendations" button on the home page to attract users; Netflix achieves 2/3 of its movie views by recommendations.

Details

Title A Movie Recommender System from Tweets Data
Authors
  • Gao, M.
  • Zhang, X.
  • Publisher Standford University Press
    Year of publication 2015