N. Nagino

Tokyo Institute of Technology

Papers

3

Total Citations

13

H-Index

3

About

N. Nagino’s research focuses on personalizing web navigation and information retrieval, particularly through adaptive systems that learn from user behavior. His most cited work, “Future view: Web navigation based on learning user’s browsing patterns” (2004, 5 citations), introduces a system that prefetches web pages by learning a user’s browsing strategies using classifier systems, aiming to streamline and assist everyday web browsing. Nagino also pioneered the concept of the Personal Web Map (PWM), a small, user-centric database of interesting web pages, developed in two related papers (2002, 4 citations; 1999, 4 citations). These works propose methods for constructing PWMs under user control via multiple web robots, offering a personalized alternative to large-scale search engines like Yahoo and AltaVista. By emphasizing user-driven, anytime control of web agents, Nagino contributed to early adaptive web technologies and personalized information management. Though his citation counts are modest, his ideas anticipated later developments in personalized search and browsing assistants. His work remains a thoughtful exploration of how systems can learn from individual users to enhance web navigation efficiency.

Research Focus

Key Achievements

3
H-Index
3
Papers
13
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Future view: Web navigation based on learning user's browsing patterns
5 citations · 2004
📈 Most Prolific Year: 2004 (1 Papers)
🤝 Key Collaborators: 1
🏛 Institutions: Tokyo Institute of Technology

Top Papers

  1. 1
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  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago