Automatic detection of search tactic in individual information seeking: A Hidden Markov Model approach

Han, Shuguang; Yue, Zhen; He, Daqing

Permalink

https://hdl.handle.net/2142/42042 Copy

Description

Title

Automatic detection of search tactic in individual information seeking: A Hidden Markov Model approach

Author(s)

• Han, Shuguang
• Yue, Zhen
• He, Daqing

Issue Date

2013-02

Keyword(s)

• Information seeking behavior
• Information Seeking Process
• Hidden Markov Model
• information behavior
• information retrieval
• quantitative data analysis

Abstract

Information seeking process is an important research topic in information seeking behavior. Both qualitative and empirical methods have been adopted in analyzing information search processes with major focus on uncovering the latent search tactics behind user behaviors. Most of the existing works require defining search tactics in advance and coding empirical data manually. Among the few works that can recognize usage patterns automatically, they missed explain the latent rationale behind them. In this paper, we proposed an automatic technique and explicitly model the latent search tactics using a Hidden Markov Model. HMM results show that the identified usage patterns of individual information seeking behaviors are consistent with Marchionini’s Information seeking process model. With the advantages of showing the connections between search tactics and search actions, and the transitions among search tactics, we argue that Hidden Markov Model is a useful tool to investigate information seeking process, or at least it provides a feasible method to analyze large scale dataset.

Publisher

iSchool

Type of Resource

text

Language

en

Permalink

http://hdl.handle.net/2142/42042

DOI

0.9776/13330

Copyright and License Information

Copyright © 2013 is held by the authors. Copyright permissions, when appropriate, must be obtained directly from the authors.

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