How are we searching the World Wide Web? A comparison of nine search engine transaction logs

By Bernard Jim Jansen, Amanda Spink. Information Processing & Management, 2006

899 citations recorded by the source corpus.

Subfields: Information Systems, Marketing

View Paper: https://www.semanticscholar.org/paper/dea66a2713be858d839d35168984d74bca47a885

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Citations in the corpus

Identifying Web Search Query Reformulation using Concept based Matching (2013, background): “Typical search users have low tolerance to viewing lowly ranked search results and they prefer to reformulate the query rather than wade through result listings (Jansen and Spink, 2006).”
Algorithmic stemmers or morphological analysisq An evaluation (2009, methodology): “We used only the first SERP for each query because most searchers only view the first results page ( Jansen & Spink, 2005 ).”
Test Collection Based Evaluation of Information Retrieval Systems (2010, background): “with the introduction of web search engines and the selective release of large public data sets from them; see [130] for an overview of that research.”
Twitter power: Tweets as electronic word of mouth (2009, neutral): “As a comparison, the average Web search queries is approximately three terms (Jansen & Spink, 2005; Wang et al., 2003).”
Methods for Evaluating Interactive Information Retrieval Systems with Users (2009, background): “[3], Bilenko and White [28], and Jansen and Spink [146].”
“But the data is already public”: on the ethics of research in Facebook (2010, neutral): “Researchers routinely rely on datasets for years after their initial collection: some influential studies of search engine behavior rely on nearly 10-year-old data (see, for example, Jansen and Resnick 2005; Jansen and Spink 2005 ), and these subjects’ privacy needs do not suddenly disappear when t”
Comparative study on methods of detecting research fronts using different types of citation (2009, background): “There has been research in overall characteristics of Web users ( Jansen & Spink, 2005; Park, Bae, & Lee, 2005; Wang, Berry, & Yang, 2003; Wolfram, 1999), as well as methods to analyze these logs effectively and efficiently (Almpanidis, Kotropoulos, & Pitas, 2007; Meghabghab & Kandel, 2004), along ”
Content Analysis—A Methodological Primer for Gender Research (2011, background): “For example, some studies of online content have focused on what web users actually attend to, unobtrusively recording their web activity (e.g., Danaher et al. 2006; Jansen and Spink 2006; Mastro et al. 2002).”
Mining Query Logs: Turning Search Usage Data into Knowledge (2010, background): “5: Comparison of categories breakdown (in %) for Excite web queries (from 1997 to 2001), and Altavista (2002) [110].”
Determining the informational, navigational, and transactional intent of Web queries (2008, methodology): “Aggregate statistics on these logs are report in Jansen and Spink (2005b) and Jansen et al. (2000).”
Interpreting informational cues: An explorative study on information use among prospective homebuyers (2009, positive): “The average words-per-tweet is nearly 16. As a comparison, the average Web search queries is approximately three terms ( Jansen & Spink, 2005; Wang et al., 2003).”
Toponym resolution in text: annotation, evaluation and applications of spatial grounding (2007, background): “For instance, Jansen and Spink (2006) study query logfile samples from nine different Internet search engines and report that out of 11 content categories that the queries can be divided into, the category ‘people, places and things’ accounted for nearly 42%-49% of all queries in a sample from 2002.”
Which academic search systems are suitable for systematic reviews or meta‐analyses? Evaluating retrieval qualities of Google Scholar, PubMed, and 26 other resources (2020, background): “This makes Google Scholar highly precise for exploratory searches conducted by a user interested in only a few relevant results on the first search engine results page.(76,77) Nevertheless, overall, Google Scholar's search precision has been found to be significantly lower than 1% for systematic sea”
Search log analysis: What it is, what's been done, how to do it (2006, background): “Jansen and Spink (2005) provide a comprehensive review of Web-searching TLA studies.1”
A Framework of Search Engine Use for Travel Planning (2011, methodology): “This research, for example, has documented the use of keywords (Jansen and Spink 2006; Jansen, Booth, and Spink 2008); Marchionini (1997) and others (Knight and Spink 2008; Pirolli and Card 1999) have examined the factors affecting the nature and structure of navigation through the Internet; and…”
The Complex Matter of Online Hotel Choice (2013, background): “Constructive decision making and cognitive load theories provide a theoretical basis for many studies in this area.”