# Oren Eli Zamir

> Ph.D. University of Washington 1999

**Wikidata**: [Q102251054](https://www.wikidata.org/wiki/Q102251054)  
**Source**: https://4ort.xyz/entity/oren-eli-zamir

## Summary
Oren Eli Zamir is a computer scientist who earned his Ph.D. from the University of Washington in 1999. His work focused on clustering web documents, particularly through phrase-based methods for grouping search engine results. He was advised by Oren Etzioni, another prominent computer scientist and AI researcher.

## Biography
- Born: [Not specified]
- Nationality: [Not specified]
- Education:
  - Ph.D. in Computer Science, University of Washington (1999)
  - Thesis: *Clustering Web Documents: A Phrase-based Method for Grouping Search Engine Results*
- Known for: Pioneering research in web document clustering and search engine optimization techniques.
- Employer(s): [Not specified]
- Field(s): Computer Science, Artificial Intelligence

## Contributions
Oren Eli Zamir's doctoral research, *Clustering Web Documents: A Phrase-based Method for Grouping Search Engine Results*, introduced innovative techniques for improving search engine results by grouping related web documents. His work contributed to advancements in information retrieval and web-based data organization. While specific publications or industry applications are not detailed in the provided material, his thesis represents a foundational contribution to the field of computer science, particularly in the intersection of web technology and data clustering.

## FAQs
### Q: What was Oren Eli Zamir's academic focus?
A: Oren Zamir's Ph.D. research focused on clustering web documents using phrase-based methods to improve search engine results.

### Q: Who was Oren Eli Zamir's doctoral advisor?
A: Oren Zamir was advised by Oren Etzioni, a well-known computer scientist and AI researcher.

### Q: What was the title of Oren Eli Zamir's thesis?
A: His thesis was titled *Clustering Web Documents: A Phrase-based Method for Grouping Search Engine Results*.

## Why They Matter
Oren Eli Zamir's work in web document clustering laid the groundwork for more efficient search engine algorithms. His phrase-based method for grouping search results improved the organization and relevance of online information, influencing later developments in information retrieval. While his broader impact is not detailed in the available material, his thesis remains a significant contribution to the field of computer science, particularly in optimizing web-based data processing.

## Notable For
- Developed a phrase-based method for clustering web documents to enhance search engine results.
- Authored a foundational thesis on improving search engine output through document grouping.
- Worked under the guidance of Oren Etzioni, a leading figure in computer science and AI.

## Body
### Education and Thesis
Oren Eli Zamir completed his Ph.D. in Computer Science at the University of Washington in 1999. His thesis, *Clustering Web Documents: A Phrase-based Method for Grouping Search Engine Results*, introduced a novel approach to organizing search engine output by grouping related documents. This method aimed to improve the relevance and usability of search results by leveraging phrase-based clustering techniques.

### Academic Advisor
Oren Zamir was advised by Oren Etzioni, a prominent computer scientist and AI researcher. Etzioni's mentorship contributed to Zamir's work in the field of web-based data processing and information retrieval.

### Field of Study
Zamir's research was primarily in computer science, with a focus on web technology and data clustering. His work addressed challenges in organizing and retrieving information from the web, influencing later developments in search engine optimization.

## References

1. Mathematics Genealogy Project
2. WorldCat