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Exploring effective features for recognizing the user intent behind web queries

Alejandro Figueroa
2015 Computers in industry (Print)  
Automatically identifying the user intent behind web queries has started to catch the attention of the research community, since it allows search engines to enhance user experience by adapting results  ...  The linguistics of documents and web queries differ noticeably.  ... 
doi:10.1016/j.compind.2015.01.005 fatcat:unzopyf3irhfhclbn7vorcuq7a

Cognitive search intents hidden behind queries

Makoto P. Kato, Takehiro Yamamoto, Hiroaki Ohshima, Katsumi Tanaka
2014 Proceedings of the 23rd International Conference on World Wide Web - WWW '14 Companion  
This study investigated query formulations by users with Cognitive Search Intents (CSI), which are needs for the cognitive characteristics of documents to be retrieved, e.g. comprehensibility, subjectivity  ...  We proposed an example-based method of specifying search intents to observe unbiased query formulations.  ...  On the other hand, experienced users do not usually input natural language queries into search engines. Thus, the way users formulate queries might be acquired through experience with Web searches.  ... 
doi:10.1145/2567948.2577279 dblp:conf/www/KatoYOT14 fatcat:kttss44n7vhvvdpp6s4f3vwhrq

Detecting Intent of Web Queries Using Questions and Answers in CQA Corpus

Soungwoong Yoon, Adam Jatowt, Katsumi Tanaka
2011 2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology  
Showing the variety of candidate intents behind a query could help users choose correct intent expressions and improve the Web search.  ...  Experimental results show that the variety of Web query intents can be found with satisfactory performance.  ...  ACKNOWLEDGMENT This research was supported in part by the Kyoto University Global COE Program: Informatics Education and Research Center for Knowledge-Circulating Society.  ... 
doi:10.1109/wi-iat.2011.41 dblp:conf/webi/YoonJT11 fatcat:ylpisazzgnhxfdm44dwuyypofm

A taxonomy of web search

Andrei Broder
2002 SIGIR Forum  
But the need behind a web search is often not informational --it might be navigational (give me the url of the site I want to reach) or transactional (show me sites where I can perform a certain transaction  ...  A query refinement process might be used to create new queries and/or to refine the results. (Figure 1)  ...  Need behind the Query".  ... 
doi:10.1145/792550.792552 fatcat:ujffukrfpvgdzgscueirp7ncoe

Detecting online commercial intention (OCI)

Honghua (Kathy) Dai, Lingzhi Zhao, Zaiqing Nie, Ji-Rong Wen, Lee Wang, Ying Li
2006 Proceedings of the 15th international conference on World Wide Web - WWW '06  
We call the commercial intentions behind a user's online activities as OCI (Online Commercial Intention).  ...  In this paper, we focus our attention on capturing commercial intention from search queries and Web pages, i.e., when a user submits the query or browse a Web page, whether he / she is about to commit  ...  ACKNOWLEDGMENTS Our thanks to MSN [16] for allowing us to access the search data.  ... 
doi:10.1145/1135777.1135902 dblp:conf/www/DaiZNWWL06 fatcat:wfitarcn4bhkbku3pj4hr5w45q

Markov Chain Based Query Classification for User Intent Image Search Engines

Thi Thi Zin, Pyke Tin, Hiromitsu Hama
2016 ICIC Express Letters  
Some experimental results are shown to capture user intents by using a set of queries submitted to the Web search engines.  ...  Today Web image search engines have well recognized that a challenging and difficult problem of determining the user intent of Web searches should be thoroughly investigated.  ...  provide the information that users required or user intent which users address behind the queries they input to the search engines.  ... 
doi:10.24507/icicel.10.09.2129 fatcat:iqho3v4wqfeivdfde2imo4hjmq

Query Reformulation for Task-Oriented Web Searches

Nikos Kirtsis, Sofia Stamou
2011 2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology  
Query reformulations are presented to the user in order to select the one that best suits her search intention.  ...  Web searches are driven by information needs and intend the accomplishment of specific tasks.  ...  Among the benefits to understanding the tasks pursued via web searches is being able to automatically suggest query reformulations that encapsulate the query intentions.  ... 
doi:10.1109/wi-iat.2011.20 dblp:conf/iat/KirtsisS11 fatcat:ncqnky33arg6rpvcirrnk2nyay


Edith Law, Anton Mityagin, Max Chickering
2009 Proceedings of the 27th international conference extended abstracts on Human factors in computing systems - CHI EA '09  
In this work, we present the design principles behind a new game called Intentions, which aims to collect data about the intent behind search queries.  ...  Knowing the intent of a search query allows for more intelligent ways of retrieving relevant search results.  ...  In a study of a very large query log with millions of queries [3] , it was shown that more than 80% of web queries are informational in intent.  ... 
doi:10.1145/1520340.1520575 dblp:conf/chi/LawMC09 fatcat:ym73mpcllzcotbhxxti5goja5q

Intent-Based Categorization of Search Results Using Questions from Web Q&A Corpus [chapter]

Soungwoong Yoon, Adam Jatowt, Katsumi Tanaka
2009 Lecture Notes in Computer Science  
Our approach was motivated by the observation that questions related to queries are effective for finding intent features.  ...  of intent categories for each query.  ...  This research was supported in part by the National Institute of Information and Communications Technology, Japan, by Grants-in-Aid for Scientific Research (No. 18049041) from MEXT of Japan, and by the  ... 
doi:10.1007/978-3-642-04409-0_19 fatcat:hkd2b3m3ynf7bbbxrqncu4wcrm

Characterizing Queries in Different Search Tasks

Jeonghyun Kim, Ahmet Can
2012 2012 45th Hawaii International Conference on System Sciences  
The purpose of this study is to explore the characteristics of queries of varied search tasks driven by different user intents.  ...  The results indicate that there were statistical differences in query iteration, identical query, failed query, clickthrough query rate among different search tasks with different search intent.  ...  Previous studies focused heavily on inferring user intent behind each query instance, but couldn't prove how different user intents lead to different queries and the action following those queries.  ... 
doi:10.1109/hicss.2012.150 dblp:conf/hicss/KimC12 fatcat:yxwot5r3hbclrmp5qqtgx7qu7a

Determining the user intent of web search engine queries

Bernard J. Jansen, Danielle L. Booth, Amanda Spink
2007 Proceedings of the 16th international conference on World Wide Web - WWW '07  
In this paper, we examine a method to determine the user intent underlying Web search engine queries.  ...  Determining the user intent of Web searches is a difficult problem due to the sparse data available concerning the searcher.  ...  ACKNOWLEDGMENT We would like to thank for providing the data for this analysis. The AFOSR and the NSF funded portions of this research. Reference  ... 
doi:10.1145/1242572.1242739 dblp:conf/www/JansenBS07 fatcat:dgz6szr27ncz7nidpbffpfnhdy

Determining the Impact of Domain Independent Ontology over Transactional User Queries

, Ruban, Behin Sam, Rakesh Kumar
2015 Indian Journal of Science and Technology  
One such area is to know the user intention behind the queries that is being given in the query interface.  ...  Based on the user intention, user queries are being classified as informational, navigational and transactional queries.  ...  One such area is to know the user intention behind the queries that is being given in the query interface.  ... 
doi:10.17485/ijst/2015/v8i24/85353 fatcat:6zuuj7dn5jdwvabtw7yxcxipeq

Personalizing Mobile Web Search for Location Sensitive Queries

Ourdia Bouidghaghen, Lynda Tamine, Mohand Boughanem
2011 2011 IEEE 12th International Conference on Mobile Data Management  
General Web search engines characterized by "one size fits all" provide the same results for the same keyword queries even though these latter are submitted by different users with different intentions  ...  In mobile Web search, the expected results for some queries could vary depending upon the user's location.  ...  ACKNOWLEDGMENT The authors would like to thank the support of the project QUAERO, directed by OSEO agency, France.  ... 
doi:10.1109/mdm.2011.52 dblp:conf/mdm/BouidghaghenTB11 fatcat:p24c43h6qnejdoy5av7c2mwimi

Improving search relevance for short queries in community question answering

Haocheng Wu, Wei Wu, Ming Zhou, Enhong Chen, Lei Duan, Heung-Yeung Shum
2014 Proceedings of the 7th ACM international conference on Web search and data mining - WSDM '14  
Existing methods mainly focus on long and syntactically structured queries. However, when an input query is short, the task becomes challenging, due to a lack information regarding user intent.  ...  In this paper, we mine different types of user intent from various sources for short queries. With these intent signals, we propose a new intent-based language model.  ...  The model measures the relevance between a short query and a candidate question based on not only the query itself but also the underlying intent hidden behind the query.  ... 
doi:10.1145/2556195.2556239 dblp:conf/wsdm/WuWZCDS14 fatcat:qcgoeb3ulbdgvlyvcd3tonlapi

Understanding the intent behind mobile information needs

Karen Church, Barry Smyth
2008 Proceedingsc of the 13th international conference on Intelligent user interfaces - IUI '09  
Thus we carried out a four-week diary study of mobile information needs, looking in particular at the goal/intent behind mobile information needs, the topics users are interested in and the impact of mobile  ...  In particular, changing contexts such as location, time, activity and social interactions are likely to impact on the types of information needs that arise.  ...  For example, early work by Broder [3] introduced a taxonomy of Web search in order to understand the actual intent behind Web search queries.  ... 
doi:10.1145/1502650.1502686 dblp:conf/iui/ChurchS09 fatcat:nccousd77zei7lhldr2f4g25zm
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