Abstract
Users' information seeking behavior is an important topic especially for organizations that seek to understand how users browse and search for information. Information nature is elusive and hard to describe given that different people use information for different purposes and different ways. This study aims at evaluating and reviewing information seeking models that have emerged in Information Retrieval (IR) literature. In this paper, the classic IR models are explicitly reviewed. Previous IR models are categorized into two main types reflecting its interactive and passive nature. A holistic model of IR is suggested to cover for missing points of previous models and to account for the interactive nature of today's social and dynamic information environment. The paper concludes with general observations on the current state of IR and how users' IR needs are changing with change in the IR environment.
Original language | English |
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Title of host publication | ITT 2019 - Information Technology Trends |
Subtitle of host publication | Emerging Technologies Blockchain and IoT |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 147-153 |
Number of pages | 7 |
ISBN (Electronic) | 9781728150611 |
DOIs | |
Publication status | Published - Nov 2019 |
Event | 6th HCT Information Technology Trends, ITT 2019 - Ras Al Khaimah, United Arab Emirates Duration: Nov 20 2019 → Nov 21 2019 |
Publication series
Name | ITT 2019 - Information Technology Trends: Emerging Technologies Blockchain and IoT |
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Conference
Conference | 6th HCT Information Technology Trends, ITT 2019 |
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Country/Territory | United Arab Emirates |
City | Ras Al Khaimah |
Period | 11/20/19 → 11/21/19 |
Bibliographical note
Publisher Copyright:© 2019 IEEE.
ASJC Scopus Subject Areas
- Artificial Intelligence
- Computer Networks and Communications
- Computer Science Applications
- Decision Sciences (miscellaneous)
- Information Systems and Management