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

By Bernard Jim Jansen, Danielle L. Booth, Amanda Spink. Information Processing & Management, 2008

530 citations recorded by the source corpus.

Subfields: Information Systems, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/dd9af33a7262be2eea3cfb18f11e60fc1681c135

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In Information Systems

In Management Science and Operations Research

Citations in the corpus

Understanding PubMed® user search behavior through log analysis (2009, background): “But much richer classification schemes are needed for characterizing queries and query reformulation (68,69).”
Comparative study on methods of detecting research fronts using different types of citation (2009, methodology): “For this process, we select a sample of records containing not only the query but also other attributes, such as the order of the query in the session, query length, result page, and vertical, and then manually classified the queries in one of three categories, which is derived from work in Rose and”
Interpreting informational cues: An explorative study on information use among prospective homebuyers (2009, unknown): “In addition to determining whether these tweets mentioned the brands, we classified 2,700 tweets into general categories, similar to the work outlined previously (Broder, 2002; Jansen, Booth, & Spink, 2008; Rose & Levinson, 2004) classifying Web queries.”
A Semantic Approach for Estimating Consumer Content Preferences from Online Search Queries (2018, background): “Jansen et al. (2008) showed that about 80% of queries are informational, about 10% are navigational, and less than 10% are transactional.”
A Framework of Search Engine Use for Travel Planning (2011, methodology): “From the process standpoint, using a search engine can be understood as consisting of three distinct steps: (1) query formulation, wherein the user enters a query into the search engine interface (Levene 2006; Slone 2002); (2) search results generation, wherein the search engine retrieves a number o”
Evaluation of contextual information retrieval effectiveness: overview of issues and research (2010, background): “Several studies [53,54] focused on predicting the user intent behind the query in order to carry out query-speciﬁc information retrieval.”
Twitter power: Tweets as electronic word of mouth (2009, methodology): “We used action-object pair approach (Zhang & Jansen, 2008) to qualitatively analyze the microblogs, an approach Adding on to objects originally developed for transaction log analysis.”