Extracting document relationships by analyzing user's activity history

Authors:
Akira Karasudani;Satoshi Iwata;Tatsuro Matsumoto;Hirokazu Aritake
Affiliations:
FUJITSU LABORATORIES LTD., Kawasaki, Kanagawa, Japan;FUJITSU LABORATORIES LTD., Kawasaki, Kanagawa, Japan;FUJITSU LABORATORIES LTD., Kawasaki, Kanagawa, Japan;FUJITSU LABORATORIES LTD., Kawasaki, Kanagawa, Japan
Venue:
Proceedings of the companion publication of the 2013 international conference on Intelligent user interfaces companion
Year:
2013

Citing 3
Cited 0

UMEA: translating interaction histories into project contexts

Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
TaskTracer: a desktop environment to support multi-tasking knowledge workers

Proceedings of the 10th international conference on Intelligent user interfaces
A five-year study of file-system metadata

ACM Transactions on Storage (TOS)

Quantified Score

Hi-index	0.00

Visualization

Abstract

In order to reduce people's workload of looking for valuable information from a large amount of available information, recommendation systems, task management systems, and so on are attracting considerable attention. Such systems are expected to allow easy access to information under the current work context. In the development of these systems, how to handle a user's current work context to know what information he wants to use is a key point. We have developed a novel method to extract relationships among documents as the work context by analyzing the user's activity history according to several viewpoints of a human being who memorizes and seeks information. We report the details of the proposed method, the evaluation result, and an application example.