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Analysis of geographic queries in a search engine log

Qingqing Gan, Josh Attenberg, Alexander Markowetz, Torsten Suel
2008 Proceedings of the first international workshop on Location and the web - LOCWEB '08  
Search engines can often return better results to users by analyzing features such as user location or geographic terms in web pages and user queries.  ...  First, we identify typical properties of geographic search (geo) queries based on a manual examination of several thousand queries.  ...  We investigate real world queries of a large query log from a standard (non-geographic) search engine, namely 36 million queries from AOL.  ... 
doi:10.1145/1367798.1367806 dblp:conf/www/GanAMS08 fatcat:fxpgojw6zbfkdj4ovnavfc6sta

LogCLEF 2009: The CLEF 2009 Multilingual Logfile Analysis Track Overview [chapter]

Thomas Mandl, Maristella Agosti, Giorgio Maria Di Nunzio, Alexander Yeh, Inderjeet Mani, Christine Doran, Julia Maria Schulz
2010 Lecture Notes in Computer Science  
Log data constitute a relevant aspect in the evaluation process of the quality of a search engine and the quality of a multilingual search service; log data can be used to study the usage of a search engine  ...  Two tasks were defined: Log Analysis and Geographic Query Identification (LAGI) and Log Analysis for Digital Societies (LADS). Five groups using a variety of approaches submitted experiments.  ...  search engine for providing the log files.  ... 
doi:10.1007/978-3-642-15754-7_62 fatcat:zxl4hfj6bzehtopwkec2vxckn4

Analyzing geographic query reformulation: An exploratory study

Saad Aloteibi, Mark Sanderson
2013 Journal of the Association for Information Science and Technology  
Reformulated sessions were sampled from a query log of a major search engine to extract 2,400 entries that were manually inspected to filter geo-sessions.  ...  Search engine users typically engage in multi-query sessions in their quest to fulfill their information needs.  ...  A query log of Microsoft Live search engine was made available to this study under the "Microsoft live lab: Accelerating Search in Academic Research" plan in 2006.  ... 
doi:10.1002/asi.22961 fatcat:kyy4e2jcgvfzhe7usnckxtcgxm

A Semantic Perspective on Query Log Analysis

Katja Hofmann, Maarten de Rijke, Bouke Huurnink, Edgar Meij
2009 Conference and Labs of the Evaluation Forum  
We present our views on the CLEF log file analysis task. We argue for a task definition that focuses on the semantic enrichment of query logs.  ...  In addition, we discuss how additional information about the context in which queries are being made could further our understanding of users' information seeking and how to better facilitate this process  ...  In various studies, researchers and search engine operators have used information from query logs to learn about the search process and to improve search engines-from early studies of the logs created  ... 
dblp:conf/clef/HofmannRHM09 fatcat:cvxeudu3irgcnlkiq4pzlmutgu

Search words and geography

Mark Sanderson, Yu Han
2007 Proceedings of the 4th ACM workshop on Geographical information retrieval - GIR '07  
In this paper, we present a preliminary study of geographic query words, which users' tend to re-use.  ...  The categories of the words demonstrate that geographically related words take up the largest proportion of all repeated words. These geo-words refer to a range of spatial areas.  ...  As part of a study of a large query log gathered using a voluntary opt-in feedback system from users of a large search engine, an analysis of the words that users use in queries was conducted.  ... 
doi:10.1145/1316948.1316952 dblp:conf/gir/SandersonH07 fatcat:wk4d2n7iw5c47jcmh44wnadwnu

LogCLEF 2011 Multilingual Log File Analysis: Language Identification, Query Classification, and Success of a Query

Giorgio Maria Di Nunzio, Johannes Leveling, Thomas Mandl
2011 Conference and Labs of the Evaluation Forum  
In this LogCLEF 2011 edition, a Web based interface to annotate log data was designed and realized on the basis on the experience of past participants for different tasks: language identification, query  ...  During these editions of LogCLEF, different collections of log dataset were distributed to the participants together with manually annotated query records to be used as a training or test set.  ...  Acknowledgments This work has been partially supported by the PROMISE network of excellence (contract n. 258191) project, as part of the 7th Framework Program of the European Commission and by by the Science  ... 
dblp:conf/clef/NunzioLM11 fatcat:vbneouuwi5fclnrjecjnyxtipi

What do patients search for when seeking clinical trial information online?

Chintan O Patel, Vivek Garg, Sharib A Khan
2010 AMIA Annual Symposium Proceedings  
In this study, we use log file data from, a consumer-centric website that provides clinical trial information to ascertain patterns in consumer queries.  ...  We analyzed semantic patterns in the queries by mapping query keywords to the UMLS Semantic Types and performed a manual evaluation of user paths.  ...  We identified a model of patient information needs in clinical trials using a semantic pattern analysis method over query logs.  ... 
pmid:21347048 pmcid:PMC3041375 fatcat:6dl3m35p2vdfdkkfgrdt2jkwb4

To what degree can log data profile a web searcher?

Bernard Jansen, Mimi Zhang, Danielle Booth, Daehee Park, Ying Zhang, Ashish Kathuria, Pat Bonner
2009 Proceedings of the American Society for Information Science and Technology  
In this paper, we report ongoing efforts in a large scale research project to develop methods for profiling individual Web search engine users by leveraging data recorded in the transaction logs of search  ...  We present the state of our ongoing research in user profiling along with that of other researchers. Our findings show that one can develop a fairly robust profile of a Web searcher using log data.  ...  The distribution results in response to a seed query show the age breakdown of MSN Search users, based on a one-month MSN Search log and regardless of search query used.  ... 
doi:10.1002/meet.2009.1450460240 fatcat:dl24imvgtjakdoipsf5ut3q7ya

SINAI at LogCLEF 2010

José M. Perea-Ortega, Arturo Montejo-Ráez, Miguel Angel García Cumbreras, Luis Alfonso Ureña López
2010 Conference and Labs of the Evaluation Forum  
The SINAI 1 research group presents some results obtained after performing a brief analysis to the query logs from The European Library 2 (TEL).  ...  The analysis carried out in this paper is related to the languages used in sessions, the number of interactions per session and the separability of sessions according to the words in the query.  ...  -TIC-41999), and a grant from the University of Jaen, project RFC/PP2008/UJA-08-16-14 and project UJA2009/12/14.  ... 
dblp:conf/clef/Perea-OrtegaRCL10 fatcat:w6jjgdntlbaqfpiwm4kwowlqqq

Distribution Pattern Analysis of Associated Geographical Names on Transportation Network

Kazuhiro KAZAMA
2012 Transactions of the Japanese society for artificial intelligence  
I extract geographical names from user's search queries recorded in search engine query logs and compare the similarities of any pair of geographical names using Jaccard coefficient.  ...  I present a new text mining approach combined with network analysis to quantify the distribution patterns of the associated geographical names on a transportation network.  ...  I extract geographical names from user's search queries recorded in search engine query logs and compare the similarities of any pair of geographical names using Jaccard coefficient.  ... 
doi:10.1527/tjsai.27.34 fatcat:7i24ixtjhrdl3b6536mzezy3ny

Spatial Variation in Search Engine Results

David Noack
2010 2010 43rd Hawaii International Conference on System Sciences  
A model to effectively compute geographical concentration/dispersion is developed and the inclusion of a map into search engine result pages is discussed.  ...  This article is a conceptual approach of how queries can be treated differently regarding their geographic focus or spread.  ...  In contrast to an analysis of queries, which shows the geographic distribution of user interest in a topic, the analysis of search engine results shows the geographic distribution of offers related to  ... 
doi:10.1109/hicss.2010.345 dblp:conf/hicss/Noack10 fatcat:oqecbq7wljhdjjkfystrlsgjs4

Page 87 of Library Resources & Technical Services Vol. 58, Issue 2 [page]

2014 Library Resources & Technical Services  
Moulaison stud- ied transaction logs and analyzed queries by the users of a college online public access catalog and indicated that the number of terms included in a search (a query length) and the number  ...  in search engines—differ by user domain and level of expertise.”  ... 

An Analysis of Travel Information Searching on the Web

Bernard J. Jansen, Christopher C. Ciamacca, Amanda Spink
2008 Information Technology & Tourism  
Analysis of a very large Web search engine Tourism, 7(2), 119–136. query log. SIGIR Forum, 3(1), 6–12. Leydesdorff, L. (1989).  ...  The mately 2,500 queries from multiple Web search researchers proposed a framework of nine factors engine transaction log.  ... 
doi:10.3727/109830508784913121 fatcat:i5jkygbnojdhpgjnonclznwk3i


Di Jiang, Jan Vosecky, Kenneth Wai-Ting Leung, Wilfred Ng
2012 Proceedings of the 21st ACM international conference on Information and knowledge management - CIKM '12  
In this paper, we tackle the problem of discovering latent geographic search topics via mining search engine query logs.  ...  Search engine query log is an important information source that contains millions of users' interests and information needs.  ...  Our work is also related to geographic information analysis in search query log. Gan et al.  ... 
doi:10.1145/2396761.2398414 dblp:conf/cikm/JiangVLN12 fatcat:6ijhobrxlrf6vi5boc4nbtyi3e

Web searcher interaction with the metasearch engine

Bernard J. Jansen, Amanda Spink, Sherry Koshman
2007 Journal of the American Society for Information Science and Technology  
In this study, we investigate the usage of, a major Web metasearch engine, with the aim of discovering how Web searchers interact with metasearch engines.  ...  We collect data on geographical location of searchers, use of system feedback, content selection, sessions, queries, and term usage.  ...  1 Acknowledgment We thank Infospace, Inc. for providing the Web search engine data set without which we could not have conducted this research.  ... 
doi:10.1002/asi.20555 fatcat:d4ervqwhh5bebie7dk5zjrdnfa
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