Published 2015
| Version v2
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
| Resource type | Journal article |
| Title | A Movie Recommender System from Tweets Data |
| Creators |
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| Publisher | Standford University Press |
| Year of publication | 2015 |
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