Rana Dattagupta
Papers
1
Total Citations
9
H-Index
1
About
Rana Dattagupta is a computer scientist whose research centers on web mining, information retrieval, and distributed crawling systems. Her most influential work, "Mining the web with hierarchical crawlers – a resource sharing based crawling approach" (2009), addresses a fundamental challenge in search engine architecture: how to efficiently coordinate multiple web crawlers to maximize coverage while minimizing redundant resource consumption. This paper, which has garnered 9 citations, proposes a novel hierarchical framework where crawlers share resources and coordinate their activities, improving both scalability and freshness of indexed web content. The work is particularly significant for its practical approach to distributed crawling, offering a blueprint for building more efficient search engines. Dattagupta's contributions lie at the intersection of distributed systems and web technologies, where she explores how collaborative crawling strategies can enhance the performance of large-scale web search infrastructures. Her research provides valuable insights for engineers and academics working on search engine optimization, web data extraction, and large-scale information retrieval systems, demonstrating how intelligent resource sharing can overcome the limitations of traditional centralized crawling approaches.
Research Focus
Key Achievements
Top Papers
- 1