Determining User Information Goals in Media-Rich Web Sites by Rethinking Information Scent Theory

doi 10.1109/icme.2010.5582595
Full Text
Abstract

Available in full text

Date
Authors
Publisher

IEEE

Related search

Lithium NLP: A System for Rich Information Extraction From Noisy User Generated Text on Social Media

2017English

Web Information Gathering Tasks and the User Search Behaviour

2012English

Web 2.0, Social Media and the New Paradigm of Information Media

Kultura
2018English

Web Weather 2.0: Improving Weather Information With User-Generated Observations

AIS Transactions on Human-Computer Interaction
2013English

Evaluating Mobile Phones and Web Sites for Academic Information Needs

International Journal of Advanced Computer Science and Applications
Computer Science
2016English

Conflicting Approaches to User Information Seeking Education in Scandinavian Web-Based Tutorials

Proceedings of the American Society for Information Science and Technology
2006English

Academic Library Web Sites: From Public Relations to Information Gateway

College and Research Libraries News
EducationLibraryInformation Sciences
1999English

The Use of Proximal Information Scent to Forage for Distal Content on the World Wide Web

2009English

Supplemental Information 5: Floral Scent Profile (Table 4)

English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy