# Badrul Sarwar

> machine learning engineer and computer scientist

**Wikidata**: [Q23514468](https://www.wikidata.org/wiki/Q23514468)  
**Source**: https://4ort.xyz/entity/badrul-sarwar

Here’s the structured biographical entry for Badrul Sarwar based on the provided source material:

---

## Summary
Badrul Sarwar is a Bangladeshi-American computer scientist and machine learning engineer known for his contributions to recommender systems and collaborative filtering. He currently works at LinkedIn and has been recognized with awards like the Seoul Test of Time Award for his influential research.

## Biography
- Born: 2000  
- Nationality: United States  
- Education:  
  - Doctor of Philosophy (Ph.D.) in Computer Science and Information Science from the University of Minnesota (completed January 2001)  
  - Bangladesh University of Engineering and Technology  
- Known for: Item-based collaborative filtering recommendation algorithms  
- Employer(s): LinkedIn  
- Field(s): Machine learning, recommender systems, collaborative filtering, text mining, natural language processing  

## Contributions
Badrul Sarwar co-authored the landmark paper *"Item-based collaborative filtering recommendation algorithms"*, which introduced scalable methods for personalized recommendations. This work, published in 2001, became foundational in e-commerce and content platforms. In 2016, it earned him the Seoul Test of Time Award, recognizing its lasting impact. His research spans machine learning, natural language processing, and text mining, with applications in industry and academia.  

## FAQs
### Q: What is Badrul Sarwar best known for?  
A: He is best known for developing item-based collaborative filtering algorithms, widely used in recommender systems for platforms like Amazon and Netflix.  

### Q: Where did Badrul Sarwar earn his Ph.D.?  
A: He earned his Ph.D. in Computer Science and Information Science from the University of Minnesota in 2001.  

### Q: What award did Badrul Sarwar win?  
A: He received the Seoul Test of Time Award in 2016 for his influential work on collaborative filtering.  

## Why They Matter  
Badrul Sarwar’s work revolutionized recommender systems by making them scalable and efficient. His algorithms enabled platforms to handle large datasets while maintaining accuracy, shaping modern recommendation engines. Without his contributions, personalized user experiences in e-commerce and streaming services would be less advanced. His research continues to influence machine learning practitioners and industry standards.  

## Notable For  
- Seoul Test of Time Award (2016) for *"Item-based collaborative filtering recommendation algorithms"*  
- Pioneering work in scalable recommender systems  
- Contributions to machine learning, NLP, and text mining  
- Employment at LinkedIn as a machine learning engineer  

## Body  
### Education  
- Ph.D., University of Minnesota (2001)  
- Bangladesh University of Engineering and Technology  

### Career  
- Machine Learning Engineer at LinkedIn  

### Research Focus  
- Machine learning  
- Recommender systems  
- Collaborative filtering  
- Text mining  
- Natural language processing  

### Awards  
- Seoul Test of Time Award (2016)  

## Schema Markup  
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  "@type": "Person",
  "name": "Badrul Sarwar",
  "alternateName": "Badrul M. Sarwar",
  "jobTitle": "Machine Learning Engineer",
  "worksFor": {"@type": "Organization", "name": "LinkedIn"},
  "nationality": {"@type": "Country", "name": "United States"},
  "birthDate": "2000",
  "alumniOf": [
    {"@type": "EducationalOrganization", "name": "University of Minnesota"},
    {"@type": "EducationalOrganization", "name": "Bangladesh University of Engineering and Technology"}
  ],
  "knowsAbout": ["Machine learning", "Recommender systems", "Collaborative filtering", "Text mining", "Natural language processing"],
  "description": "Machine learning engineer and computer scientist known for contributions to recommender systems."
}

## References

1. [Source](http://www-users.cs.umn.edu/~sarwar/)