A movie recommendation method based on users' positive and negative profiles

Author:

Chen Yen-Liang,Yeh Yi-Hsin,Ma Man-Rong

Publisher

Elsevier BV

Subject

Library and Information Sciences,Management Science and Operations Research,Computer Science Applications,Media Technology,Information Systems

Reference35 articles.

1. A survey of topic modeling in text mining;Alghamdi;International Journal of Advanced Computer Science and Applications,2015

2. User tweets based genre prediction and movie recommendation using LSI and SVD;Bansal,2016

3. Beel, J. (2019). And the winner is MovieLens - On the popularity of recommender system datasets. https://isg.beel.org/blog/2019/08/03/and-the-winner-is-movielens-on-the-popularity-of-recommender-system-datasets/.

4. Comparing LDA and LSA topic models for content-based movie recommendation systems;Bergamaschi,2015

5. Enhanced movie content similarity based on textual, auditory and visual information;Bougiatiotis;Expert Systems with Applications,2018

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