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

Jansen, Bernard J.; Booth, Danielle; Spink, Amanda

doi:10.1016/j.ipm.2007.07.015

Cited by 382 publications

(305 citation statements)

References 34 publications

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“…A recent study reported that 80% of queries submitted to search engines are non-navigational [14]; people are often seeking general information on a broad topic such as "global warming" or "nutrition". Information needs behind such non-navigational queries are often satisfied by relevant information collected from multiple documents in different genres.…”

Section: Introductionmentioning

confidence: 99%

A Task-Based Evaluation of an Aggregated Search Interface

Sushmita

Joho

Lalmas

2009

String Processing and Information Retrieval

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Abstract. This paper presents a user study that evaluated the effectiveness of an aggregated search interface in the context of non-navigational search tasks. An experimental system was developed to present search results aggregated from multiple information sources, and compared to a conventional tabbed interface. Sixteen participants were recruited to evaluate the performance of the two interfaces. Our results suggest that the aggregated search interface is a promising way of supporting nonnavigational search tasks. The quantity and diversity of the retrieved items which participants accessed to complete a task, increased in the aggregated interface. Participants also found the aggregated presentation easier to access to retrieved items and to find relevant information, compared to the conventional interface.

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Section: Introductionmentioning

confidence: 99%

A Task-Based Evaluation of an Aggregated Search Interface

Sushmita

Joho

Lalmas

2009

String Processing and Information Retrieval

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“…20 Search performed on google.com from an IP located in Brussels on the 27th of March 2012. 21 80% of queries are estimated to be informational, and 10% navigational (Jansen et al 2008). 22 On a similar line, see Argenton and Prüfer (2012) who also review several other contributions on this issue.…”

Section: Google's Marketmentioning

confidence: 97%

“…Nevertheless, these queries are estimated to represent about 10% of all search queries (Jansen et al 2008). In addition to that, these advertisements cause positive externalities only to the extent to which the information is not delivered via the organic search results too.…”

Section: Google's Marketmentioning

confidence: 99%

Is the Google Platform a Two-Sided Market?

Luchetta

2012

SSRN Journal

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Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. www.econstor.eu Terms of use: Documents in IS THE GOOGLE PLATFORM A TWO-SIDED MARKET?Giacomo Luchetta * AbstractProbably not. Or, at least, it is a sui generis two-sided market. Unlike other platforms, such as operating systems, credit cards, or night clubs, where a single transaction is performed via the platform, two different transactions take place on Google. Users look for search results, while advertisers look for users' eyeballs. Whilst operating systems, credit cards, and night clubs would be meaningless if either of the two sides were missing, search engines (like TV or newspapers) can exist under different market configurations. Indeed, in search engines network externalities run only from the number of users to advertisers, and not the other way around. This thesis is supported by the analysis of the existing literature on two-sided markets and the applications carried out so far to the economics of search engines.According to this analysis, a new construction of the relevant market where Google operates is proposed. Google operates as a retailer of eyeballs, or users' attention. In the upstream market, on one side, it buys well-profiled eyeballs from large retailers, i.e. major websites, at a positive price (Traffic Acquisition Costs); on the other side, it buys eyeballs from single consumers in exchange of search services (inkind payment). Then, it sells well-profiled eyeballs to advertisers in the downstream market. Based on this market construction, the allegations against Google are analysed as alleged violations of competition law along this vertical chain.

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“…Broder estimates that approximately 50% of queries are informational, 30% transactional, and 20% navigational [91], but others have claimed that there are much fewer transactional and navigational queries [370]. Delving into the details, data regarding search term popularity is shown in Figure 9.30.…”

Section: Transactional Queriesmentioning

confidence: 99%

Workload Modeling for Computer Systems Performance Evaluation

Feitelson

2015

197

131

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Reliable performance evaluations require the use of representative workloads. This is no easy task since modern computer systems and their workloads are complex, with many interrelated attributes and complicated structures. Experts often use sophisticated mathematics to analyze and describe workload models, making these models difficult for practitioners to grasp. This book aims to close this gap by emphasizing the intuition and the reasoning behind the definitions and derivations related to the workload models. It provides numerous examples from real production systems, with hundreds of graphs. Using this book, readers will be able to analyze collected workload data and clean it if necessary, derive statistical models that include skewed marginal distributions and correlations, and consider the need for generative models and feedback from the system. The descriptive statistics techniques covered are also useful for other domains.

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

Cited by 382 publications

References 34 publications

A Task-Based Evaluation of an Aggregated Search Interface

A Task-Based Evaluation of an Aggregated Search Interface

Is the Google Platform a Two-Sided Market?

Workload Modeling for Computer Systems Performance Evaluation

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