Implicit information need as explicit problems, help, and behavioral signals-Reference-Cited by-同舟云学术

Implicit information need as explicit problems, help, and behavioral signals

Published:2020-03 Issue:2 Volume:57 Page:102069
ISSN:0306-4573
Container-title:Information Processing & Management
language:en
Short-container-title:Information Processing & Management

Author:

Sarkar Shawon,Mitsui Matthew,Liu Jiqun,Shah Chirag

Funder

National Science Foundation

Publisher

Elsevier BV

Subject

Library and Information Sciences,Management Science and Operations Research,Computer Science Applications,Media Technology,Information Systems

Reference78 articles.

1. A proposed methodology for the conceptualization, operationalization, and empirical validation of the concept of information need.;Afzal;Information Research: An International Electronic Journal,2017

2. Integration of information needs and seeking;Al-Fedaghi,2008

3. The design of browsing and berrypicking techniques for the online search interface;Bates;Online Review,1989

4. Toward an integrated model of information seeking and searching;Bates;The New Review of Information Behaviour Research,2002

5. Anomalous states of knowledge as a basis for information retrieval;Belkin;Canadian Journal of Information Science,1980

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