Knowledge

Web query

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A 2005 study of Yahoo's query logs revealed that 33% of the queries from the same users were repeat queries and that in 87% of cases the user would click on the same result. This suggests that many users use repeat queries to revisit or re-find information. This analysis is confirmed by a Bing search
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There are three broad categories that cover most web search queries: informational, navigational, and transactional. These are also called "do, know, go." Although this model of searching was not theoretically derived, the classification has been empirically validated with actual search engine
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Most commercial web search engines do not disclose their search logs, so information about what users are searching for on the Web is difficult to come by. Nevertheless, research studies started to appear in 1998. A 2001 study, which analyzed the queries from the
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distribution curves. That is, a small portion of the terms observed in a large query log (e.g. > 100 million queries) are used most often, while the remaining terms are used less often individually. This example of the
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A 2011 study found that the average length of queries had grown steadily over time and the average length of non-English language queries had increased more than English ones. Google implemented the
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With search engines that support Boolean operators and parentheses, a technique traditionally used by librarians can be applied. A user who is looking for documents that cover several topics or
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and pre-fetching. In addition, studies have been conducted into linguistically-oriented attributes that can recognize if a web query is navigational, informational or transactional.
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Mona Taghavi; Ahmed Patel; Nikita Schmidt; Christopher Wills; Yiqi Tew (2011). "An analysis of web proxy logs with query distribution pattern approach for search engines".
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A study of the same Excite query logs revealed that 19% of the queries contained a geographic term (e.g., place names, zip codes, geographic features, etc.).
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Studies also show that, in addition to short queries (queries with few terms), there are predictable patterns of how users change their queries.
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update in August 2013 to handle longer search queries since more searches are conversational (e.g. "where is the nearest coffee shop?").
719: 106:โ€“ Queries that reflect the intent of the user to perform a particular action, like purchasing a car or downloading a screen saver. 528: 169: 380: 264:
is likely to find documents about electronic voting even if they omit one of the words "electronic" or "voting", or even both.
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About half of the users entered a single query while a little less than a third of users entered three or more unique queries.
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Proceedings of the 29th Annual ACM Conference on Research and Development in Information Retrieval (SIGIR '06)
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Close to half of the users examined only the first one or two pages of results (10 results per page).
688: 1032: 942: 922: 705: 439: 283: 262:(electronic OR computerized OR DRE) AND (voting OR elections OR election OR balloting OR electoral) 122: 553:. Lecture Notes in Computer Science. Vol. 3408. Springer Berlin / Heidelberg. pp. 7โ€“22. 47: 970: 843: 772: 863: 746: 665:"Exploiting Query Structure and Document Structure to Improve Document Retrieval Effectiveness" 662: 434: 898: 767: 675: 273: 664: 417: 218: 8: 797: 792: 257: 245: 152: 641: 868: 463: 229: 196:
In addition, research has shown that query term frequency distributions conform to the
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Vojkan Mihajloviฤ‡; Djoerd Hiemstra; Henk Ernst Blok; Peter M.G. Apers (October 2006).
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Search engines often support a fourth type of query that is used far less frequently:
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Determining the informational, navigational, and transactional intent of Web queries
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engine blog post which stated that about 30% of queries are navigational queries.
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Amanda Spink; Dietmar Wolfram; Major B. J. Jansen; Tefko Saracevic (2001).
92:โ€“ Queries that seek a single website or web page of a single entity (e.g., 46:. Web search queries are distinctive in that they are often plain text and 912: 883: 878: 873: 293: 126: 155:
search engine, showed some interesting characteristics of web searches:
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Journal of the American Society for Information Science and Technology
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Broder, A. (2002). A taxonomy of Web search. SIGIR Forum, 36(2), 3โ€“10.
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10.1002/1097-4571(2000)9999:9999<::AID-ASI1591>3.3.CO;2-I
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Silverstein, C., Henzinger, M., Marais, H., & Moricz, M. (1999).
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Real life information retrieval: A study of user queries on the web
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Proceedings of the Workshop on Geographic Information (SIGIR '04)
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Ricardo Baeza-Yates (2005). "Applications of Web Query Mining".
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Jansen, B. J., Spink, A., Bateman, J., and Saracevic, T. 1998.
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Jaime Teevan; Eytan Adar; Rosie Jones; Michael Potts (2005).
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Less than 5% of users used advanced search features (e.g.,
461: 117:โ€“ Queries that report on the connectivity of the indexed 642:"FAQ: All About The New Google "Hummingbird" Algorithm" 86:) for which there may be thousands of relevant results. 480:
Jansen, B. J., Booth, D. L., & Spink, A. (2009).
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Analysis of a very large Web search engine query log
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Patterns of query modification during Web searching
581: 420:"Searching the web: The public and their queries" 50:are rarely used. They vary greatly from standard 1024: 343:Jansen, B. J., Booth, D., and Spink, A. (2008) 54:, which are governed by strict syntax rules as 615:Journal of Computer Standards & Interfaces 381:AOL apologizes for release of user search data 713: 175:The top four most frequently used terms were 159:The average length of a query was 2.4 terms. 125:?, and How many pages are indexed from this 542: 27:Query that enters into a web search engine 720: 706: 462:Mark Sanderson & Janet Kohler (2004). 78:โ€“ Queries that cover a broad topic (e.g., 438: 639: 137: 379:Dawn Kawamoto and Elinor Mills (2006), 320: 244:may want to describe each of them by a 14: 1025: 701: 260:of such facets; e.g. a query such as 235: 38:is a query that a user enters into a 834:Cross-language information retrieval 727: 24: 213:) allows search engines to employ 133: 25: 1044: 551:Advances in Information Retrieval 356: 248:of characteristic words, such as 121:(e.g., Which links point to this 981:Representational State Transfer 656: 633: 606: 575: 517: 487: 474: 250:vehicles OR cars OR automobiles 813:Natural language search engine 640:Sullivan, Danny (2013-09-26). 464:"Analyzing geographic queries" 455: 411: 398: 385: 373: 350: 337: 314: 305: 13: 1: 600:10.1016/j.compind.2015.01.005 321:Gibbons, Kevin (2013-01-11). 299: 986:Wide area information server 859:Search oriented architecture 395:. SIGIR Forum, 32(1), 5 -17. 361:. Cambridge University Press 7: 966:Search/Retrieve Web Service 763:Collaborative search engine 582:Alejandro Figueroa (2015). 559:10.1007/978-3-540-31865-1_2 408:. SIGIR Forum, 33(1), 6โ€“12. 289:Taxonomy for search engines 267: 58:with keyword or positional 10: 1049: 933:Website mirroring software 849:Search engine optimization 994: 951: 918:Robots exclusion standard 826: 735: 627:10.1016/j.csi.2011.07.001 177:(empty search), and, of, 48:boolean search directives 943:Web query classification 923:Distributed web crawling 284:Web query classification 65: 971:Search/Retrieve via URL 844:Search engine marketing 511:10.1145/1148170.1148326 215:optimization techniques 172:like AND, OR, and NOT). 864:Selection-based search 683:Cite journal requires 359:"Connectivity servers" 147: 768:Cross-language search 594:. Elsevier: 162โ€“169. 588:Computers in Industry 325:. Search Engine Watch 274:Information retrieval 219:database partitioning 141: 104:Transactional queries 76:Informational queries 644:. Search Engine Land 505:. pp. 703โ€“704. 115:Connectivity queries 90:Navigational queries 854:Evaluation measures 798:Video search engine 869:Document retrieval 236:Structured queries 148: 146:for a search query 144:search suggestions 1020: 1019: 894:Search aggregator 803:Enterprise search 758:Multimedia search 753:Metasearch engine 743:Web search engine 568:978-3-540-25295-5 279:Web search engine 217:such as index or 170:boolean operators 56:command languages 44:information needs 42:to satisfy their 40:web search engine 16:(Redirected from 1040: 889:Federated search 722: 715: 708: 699: 698: 693: 692: 686: 681: 679: 671: 669: 660: 654: 653: 651: 649: 637: 631: 630: 610: 604: 603: 579: 573: 572: 546: 540: 539: 537: 536: 527:. 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Index

Web search query
web search engine
information needs
boolean search directives
query languages
command languages
parameters
web graph
URL
domain name

search suggestions
Excite
boolean operators
power law
Pareto principle
optimization techniques
database partitioning
caching
hummingbird
disjunction
conjunction
Information retrieval
Web search engine
Web query classification
Taxonomy for search engines
User intent
"Do, Know, Go: How to Create Content at Each Stage of the Buying Cycle"
Determining the informational, navigational, and transactional intent of Web queries
"Connectivity servers"

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