# Movie Recommender System using critic consensus

arXiv: https://arxiv.org/abs/2112.11854 · HTML: https://mlsanity.com/paper/2112.11854/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- Builds on 1 of its 10 references that are in the map.
- First posted on arXiv 22 Dec 2021.

## Builds on (most cited first, 1 of 1)

- [Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks](https://mlsanity.com/paper/1908.10084/) (2019)

## Built on by (most cited first, 1 of 1)

- [Multi-channel Emotion Analysis for Consensus Reaching in Group Movie Recommendation Systems](https://mlsanity.com/paper/2404.13778/) (2024)

## Abstract (arXiv)

Recommendation systems are perhaps one of the most important agents for industry growth through the modern Internet world. Previous approaches on recommendation systems include collaborative filtering and content based filtering recommendation systems. These 2 methods are disjointed in nature and require the continuous storage of user preferences for a better recommendation. To provide better integration of the two processes, we propose a hybrid recommendation system based on the integration of collaborative and content-based content, taking into account the top critic consensus and movie rating score. We would like to present a novel model that recommends movies based on the combination of user preferences and critical consensus scores.