Resumen
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.
Idioma original | English |
---|---|
Título de la publicación alojada | ITT 2019 - Information Technology Trends |
Subtítulo de la publicación alojada | Emerging Technologies Blockchain and IoT |
Editorial | Institute of Electrical and Electronics Engineers Inc. |
Páginas | 147-153 |
Número de páginas | 7 |
ISBN (versión digital) | 9781728150611 |
DOI | |
Estado | Published - nov. 2019 |
Evento | 6th HCT Information Technology Trends, ITT 2019 - Ras Al Khaimah, United Arab Emirates Duración: nov. 20 2019 → nov. 21 2019 |
Serie de la publicación
Nombre | ITT 2019 - Information Technology Trends: Emerging Technologies Blockchain and IoT |
---|
Conference
Conference | 6th HCT Information Technology Trends, ITT 2019 |
---|---|
País/Territorio | United Arab Emirates |
Ciudad | Ras Al Khaimah |
Período | 11/20/19 → 11/21/19 |
Nota bibliográfica
Publisher Copyright:© 2019 IEEE.
ASJC Scopus Subject Areas
- Artificial Intelligence
- Computer Networks and Communications
- Computer Science Applications
- Decision Sciences (miscellaneous)
- Information Systems and Management