Learning individual preferences from aggregate data: A genetic algorithm for discovering baskets of television shows with affinities to political and social interests

Author:

Padmanabhan BalajiORCID,Barfar Arash

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference36 articles.

1. Blakley, J., Watson-Currie, E., Shin, H. S., Valenti, L. T., Saucier, C., & Boisvert, H. (2019). Are you what you watch? Tracking the political divide through TV preferences.

2. Bruell, A. (2019, June 04). Political Ad Spending Will Approach $10 Billion in 2020, New Forecast Predicts. Retrieved August 30, 2020, from https://www.wsj.com/articles/political-ad-spending-will-approach-10-billion-in-2020-new-forecast-predicts-11559642400.

3. Hybrid recommender systems: Survey and experiments;Burke;User Model. User-Adap. Inter.,2002

4. Estimating disaggregate models using aggregate data through augmentation of individual choice;Chen;J. Mark. Res.,2007

5. October). Predicting the political alignment of twitter users;Conover,2011

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