From E-Sex to E-Commerce: Web Search Changes

By Amanda Spink, Bernard Jim Jansen, Dietmar Wolfram, Tefko Saracevic. Computer, 2002

539 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/47b543d23d3a29e6d1366ef8131304df6d839e51

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In Information Systems

Citations in the corpus

Measuring search engine bias (2005, background): “For consistency and simplicity, since choice of search terms is known to influence search results ( Spink, Jansen, Wolfram, & Saracevic, 2002 ), domains and search terms have been chosen from tree-structured classification schemes.”
Automatic identification of user goals in Web search (2005, background): “There is a large body of work on Web user’s searching behavior and Web query statistics [26, 16, 27, 28].”
Representation of the Online Tourism Domain in Search Engines (2008, methodology): “It is posited in this study that because of the huge impact of search engines, search engines enable one to define the practical limits of the tourism domain (Henzinger 2007; Spink and Jansen 2004; Spink et al. 2002).”
Adapting ranking SVM to document retrieval (2006, background): “Categories and Subject Descriptors H.3.3 [Information Search and Retrieval]: Information Search and Retrieval – Retrieval Models General Terms Algorithms, Experimentation, Theory Keywords Information retrieval, loss function, Ranking SVM”
Using terminological feedback for web search refinement: a log-based study (2003, unknown): “([deLima99], [Spink02]).”
Mining Query Logs: Turning Search Usage Data into Knowledge (2010, background): “Queries are issued on several different topics [162] depending also on the historical period [209].”
A large scale study of wireless search behavior: Google mobile search (2006, background): “RELATED WORK Several large scale web search studies have been performed in the past [8] [12] [13].”
Survey Measures of Web-Oriented Digital Literacy (2005, background): “Today’s search engines are still not well equipped to deal with simple queries that contain no more than one word, yet the majority of queries on search engines do not include more refined information (Spink et al., 2001; Spink, Jansen, Wolfram, & Saracevic, 2002 ).”
How are we searching the World Wide Web? A comparison of nine search engine transaction logs (2006, methodology): “We classified each query into eleven non-mutually exclusive, general topic categories developed by Spink et al. (2002a).”
The Digital Divide and What to Do About It (2003, background): “Warschauer ( 2002 ) has also offered an alternative approach suggesting that in addition to the physical sides of access , other factors such as content , language , literacy , education and institutional structures must also be taken into consideration when assessing the level of information and…”
How does search behavior change as search becomes more difficult? (2010, background): “Most of these queries are simple keyword queries – only about 10% of queries contain advanced query operators [14, 23].”
Hourly analysis of a very large topically categorized web query log (2004, background): “al analyzed logs totaling more than one million queries submitted to the Excite web search engine during single days in 1997, 1999, and 2001 [18][19][20].”
The anatomy of a large-scale social search engine (2010, unknown): “queries are unique [19, 20], in Aardvark 98.”