Resource type

Determining the informational, navigational, and transactional intent of Web queries

Resource type
Authors/contributors
Title
Determining the informational, navigational, and transactional intent of Web queries
Abstract
In this paper, we define and present a comprehensive classification of user intent for Web searching. The classification consists of three hierarchical levels of informational, navigational, and transactional intent. After deriving attributes of each, we then developed a software application that automatically classified queries using a Web search engine log of over a million and a half queries submitted by several hundred thousand users. Our findings show that more than 80% of Web queries are informational in nature, with about 10% each being navigational and transactional. In order to validate the accuracy of our algorithm, we manually coded 400 queries and compared the results from this manual classification to the results determined by the automated method. This comparison showed that the automatic classification has an accuracy of 74%. Of the remaining 25% of the queries, the user intent is vague or multi-faceted, pointing to the need for probabilistic classification. We discuss how search engines can use knowledge of user intent to provide more targeted and relevant results in Web searching.
Publication
Information Processing & Management
Volume
44
Issue
3
Pages
1251-1266
Date
May 1, 2008
Journal Abbr
Information Processing & Management
Language
en
DOI
10.1016/j.ipm.2007.07.015
ISSN
0306-4573
Accessed
2018-03-28T23:33:46Z
Library Catalog
ScienceDirect
Citation
Jansen, B. J., Booth, D. L., & Spink, A. (2008). Determining the informational, navigational, and transactional intent of Web queries. Information Processing & Management, 44(3), 1251–1266. https://doi.org/10.1016/j.ipm.2007.07.015
Field of study
Contribution