Characterizing Queries in Different Search Tasks

The purpose of this study is to explore the characteristics of queries of varied search tasks driven by different user intents. For this, the study collected empirical and descriptive evidence of twenty-nine subjects' information searching process on the Web. Several indicators have been employed to determine different characteristics of queries. The results indicate that there were statistical differences in query iteration, identical query, failed query, click-through query rate among different search tasks with different search intent. The results also indicate different search tasks result in different query interval lengths.

[1]  Jeonghyun Kim.  Describing and predicting information-seeking behavior on the Web , 2009 .

[2]  Zhenyu Liu,et al.  Automatic identification of user goals in Web search , 2005, WWW '05.

[3]  Paul-Alexandru Chirita,et al.  Personalized query expansion for the web , 2007, SIGIR.

[4]  Soo Young Rieh,et al.  Analysis of multiple query reformulations on the web: The interactive information retrieval context , 2006, Information Processing & Management.

[5]  Daniel E. Rose,et al.  Understanding user goals in web search , 2004, WWW '04.

[6]  Filip Radlinski,et al.  Evaluating the accuracy of implicit feedback from clicks and query reformulations in Web search , 2007, TOIS.

[7]  Filip Radlinski,et al.  Inferring query intent from reformulations and clicks , 2010, WWW '10.

[8]  Ricardo A. Baeza-Yates,et al.  The Intention Behind Web Queries , 2006, SPIRE.

[9]  Martin Whittle,et al.  Data mining of search engine logs , 2007, J. Assoc. Inf. Sci. Technol..

[10]  Amanda Spink,et al.  Defining a session on Web search engines , 2007, J. Assoc. Inf. Sci. Technol..

[11]  Feng Qiu,et al.  Automatic identification of user interest for personalized search , 2006, WWW '06.

[12]  Sofia Stamou,et al.  Search personalization through query and page topical analysis , 2009, User Modeling and User-Adapted Interaction.

[13]  Efthimis N. Efthimiadis,et al.  Analyzing and evaluating query reformulation strategies in web search logs , 2009, CIKM.

[14]  Hsiao-Tieh Pu,et al.  An analysis of failed queries for web image retrieval , 2008, J. Inf. Sci..

[15]  Amanda Spink.  Web Search: Emerging Patterns , 2003, Libr. Trends.

[16]  Daqing He,et al.  Combining evidence for automatic Web session identification , 2002, Inf. Process. Manag..

[17]  Ricardo Baeza-Yates,et al.  Towards a Deeper Understanding of the User’s Query Intent , 2010 .

[18]  Yiqun Liu,et al.  Automatic Query Type Identification Based on Click Through Information , 2006, AIRS.

[19]  Yannis Tzitzikas,et al.  Advancing Search Query Autocompletion Services with More and Better Suggestions , 2010, ICWE.

[20]  Mohand Boughanem,et al.  Contextual query classification in web search , 2008, LWA.

[21]  Sarantos Kapidakis,et al.  Failed Queries: a Morpho-Syntactic Analysis Based on Transaction Log Files , 2011 .

[22]  Amanda Spink,et al.  Determining the informational, navigational, and transactional intent of Web queries , 2008, Inf. Process. Manag..

[23]  Monika Henzinger,et al.  Analysis of a very large web search engine query log , 1999, SIGF.

[24]  Gerhard Weikum,et al.  Task-aware search personalization , 2008, SIGIR '08.

[25]  Amanda Spink,et al.  Searching the Web: the public and their queries , 2001 .

[26]  Pia Borlund,et al.  Experimental components for the evaluation of interactive information retrieval systems , 2000, J. Documentation.

[27]  Eric Horvitz,et al.  Patterns of search: analyzing and modeling Web query refinement , 1999 .

[28]  Katja Hofmann,et al.  A Semantic Perspective on Query Log Analysis , 2009, CLEF.

[29]  Thorsten Joachims,et al.  The influence of task and gender on search and evaluation behavior using Google , 2006, Inf. Process. Manag..

[30]  Susan T. Dumais,et al.  To personalize or not to personalize: modeling queries with variation in user intent , 2008, SIGIR '08.

[31]  Christine Urquhart,et al.  Using vignettes to diagnose information seeking strategies: opportunities and possible problems for information use studies of health professionals , 1999 .

[32]  Filip Radlinski,et al.  Personalizing web search using long term browsing history , 2011, WSDM '11.

[33]  Noriko Kando,et al.  Differences between informational and transactional tasks in information seeking on the web , 2008, IIiX.

[34]  Eugene Agichtein,et al.  Exploring Client-Side Instrumentation for Personalized Search Intent Inference : Preliminary Experiments , 2008 .

[35]  Daniel Gayo-Avello,et al.  Automatic detection of navigational queries according to Behavioural Characteristics , 2008, LWA.

[36]  Jacek Gwizdka,et al.  Analysis and evaluation of query reformulations in different task types , 2010, ASIST.

[37]  Andrei Broder,et al.  A taxonomy of web search , 2002, SIGF.

[38]  Jaime Teevan,et al.  Information re-retrieval: repeat queries in Yahoo's logs , 2007, SIGIR.