Searching the Web: the public and their queries

By A. Spink, Dietmar Wolfram, Major B. J. Jansen, Tefko Saracevic. 2001

592 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/c1c13dd4a4ac5713c308211150a4791ac98b8fc3

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In Information Systems

Citations in the corpus

Google Search: Hyper-visibility as a Means of Rendering Black Women and Girls Invisible (2013, background): “Martin Feuz, Matthew Fuller, and Felix Stalder, “Personal Web Searching in the Age of Semantic Capitalism: Diagnosing the Mechanisms of Personalization,” First Monday, 16(2-7) (2011).”
Internet skills and the digital divide (2011, background): “…empirical studies that address a specific aspect, e.g., navigation (Ford and Chen, 2000), orientation (Ahuja and Webster, 2001), selecting search results (Aula and Nordhausen, 2006; Pan et al., 2007), defining search queries (Spink et al., 2001), or evaluating information (Moharan-Martin, 2004).”
Adaptation of machine translation for multilingual information retrieval in the medical domain (2014, background): “ference is evident from the average length, which is about 23 words per sentence on the English side for the gen sets, 17 for the med sets, and only slightly above 2 for the query sets – this is comparable to the observation that user queries to search engines usually consist of 2–3 words [81].”
The perfect search engine is not enough: a study of orienteering behavior in directed search (2004, background): “Query log analysis [6, 25] provides insight into the types of information people search for (e.”
Stuff I've seen: a system for personal information retrieval and re-use (2003, background): “Although our users are arguably more computer savvy than the typical web user, many characteristics of their queries are similar to those reported in analyses of web query logs [27,28].”
A Semantic Approach for Estimating Consumer Content Preferences from Online Search Queries (2018, result): “In addition, we find that on average users tend to use few queries in a session and also few words in a query, which is consistent with the existing empirical studies on online search queries (Jansen et al., 2000; Spink et al., 2001; Kamvar and Baluja, 2006; Wu et al., 2014).”
Query Expansion Techniques for Information Retrieval: a Survey (2017, unknown): “This can happen simply as a matter of habit (average size of a web search is 2.4 words 1 [249]).”
Neural Approaches to Conversational AI (2018, unknown): “e other hand, allow users to query a KB interactively without composing complicated queries, motivated by the observations: Users are more used to issuing simple queries of length less than 5 words (Spink et al., 2001). In many cases, it is unreasonable to assume that users can construct composition”