A Review of Models of Information Seeking Behavior

Hesham Allam, Michael Bliemel, Nasser Nassiri, Sandra Toze, Lori Mc Ay Peet, Rachna Banerjee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Citations (Scopus)

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 languageEnglish
Title of host publicationITT 2019 - Information Technology Trends
Subtitle of host publicationEmerging Technologies Blockchain and IoT
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages147-153
Number of pages7
ISBN (Electronic)9781728150611
DOIs
Publication statusPublished - Nov 2019
Event6th HCT Information Technology Trends, ITT 2019 - Ras Al Khaimah, United Arab Emirates
Duration: Nov 20 2019Nov 21 2019

Publication series

NameITT 2019 - Information Technology Trends: Emerging Technologies Blockchain and IoT

Conference

Conference6th HCT Information Technology Trends, ITT 2019
Country/TerritoryUnited Arab Emirates
CityRas Al Khaimah
Period11/20/1911/21/19

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

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