# Recommender Systems and Techniques

**Type:** Topics  
**Canonical URL:** https://scholariq.org/topics/recommender-systems-and-techniques-2/

## Facts

| Field | Value |
| --- | --- |
| Citations | 1,109,045 |
| Description | This cluster of papers focuses on the advancements in recommender system technologies, including collaborative filtering, matrix factorization, deep learning, content-based recommendation, web mining, context-aware recommender systems, neural networks, user modeling, and trust-aware recommender systems. The papers cover various techniques and methodologies for improving recommendation accuracy and addressing challenges such as cold start problems and privacy concerns. |
| Domain | Physical Sciences |
| Field | Computer Science |
| OpenAlex ID | https://openalex.org/T10203 |
| Works | 75,255 |

## Topic researchers

Showing 12 of 20.

- [Yoshua Bengio](https://scholariq.org/researchers/yoshua-bengio/)
- [Geoffrey E. Hinton](https://scholariq.org/researchers/geoffrey-e-hinton/)
- [Christopher D. Manning](https://scholariq.org/researchers/christopher-d-manning/)
- [Philip S. Yu](https://scholariq.org/researchers/philip-s-yu/)
- [Serge Belongie](https://scholariq.org/researchers/serge-belongie/)
- [Tsung-Yi Lin](https://scholariq.org/researchers/tsung-yi-lin/)
- [Ruslan Salakhutdinov](https://scholariq.org/researchers/ruslan-salakhutdinov/)
- [Jure Leskovec](https://scholariq.org/researchers/jure-leskovec/)
- [Robert E. Schapire](https://scholariq.org/researchers/robert-e-schapire/)
- [Qiang Yang](https://scholariq.org/researchers/qiang-yang/)
- [Greg S. Corrado](https://scholariq.org/researchers/greg-s-corrado/)
- [Jiawei Han](https://scholariq.org/researchers/jiawei-han/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.