ACM SIGIR Forum
Analysis of Statistical Question Classification for Fact-Based Questions
Information Retrieval
Automatic identification of user goals in Web search
WWW '05 Proceedings of the 14th international conference on World Wide Web
Categorizing web search results into meaningful and stable categories using fast-feature techniques
Proceedings of the 6th ACM/IEEE-CS joint conference on Digital libraries
Getting work done on the web: supporting transactional queries
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
Proceedings of the 16th international conference on World Wide Web
Genre Categorization of Web Pages
ICDMW '07 Proceedings of the Seventh IEEE International Conference on Data Mining Workshops
Determining the informational, navigational, and transactional intent of Web queries
Information Processing and Management: an International Journal
Exploring mouse movements for inferring query intent
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Understanding user's query intent with wikipedia
Proceedings of the 18th international conference on World wide web
Learning noun-modifier semantic relations with corpus-based and WordNet-based features
AAAI'06 Proceedings of the 21st national conference on Artificial intelligence - Volume 1
Computing semantic relatedness using Wikipedia-based explicit semantic analysis
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Feature generation for text categorization using world knowledge
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Personalized web search with user geographic and temporal preferences
APWeb'11 Proceedings of the 13th Asia-Pacific web conference on Web technologies and applications
Detecting Intent of Web Queries Using Questions and Answers in CQA Corpus
WI-IAT '11 Proceedings of the 2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Volume 01
Proceedings of the 5th International Workshop on Web APIs and Service Mashups
Intent feature discovery using Q&A corpus and web data
Proceedings of the 4th International Conference on Uniquitous Information Management and Communication
QAque: faceted query expansion techniques for exploratory search using community QA resources
Proceedings of the 21st international conference companion on World Wide Web
Search intent discovery by structurization of community QA contents
WISE'12 Proceedings of the 13th international conference on Web Information Systems Engineering
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User intent is defined as a user's information need. Detecting intent in Web search helps users to obtain relevant content, thus improving their satisfaction. We propose a novel approach to instantiating intent by using adaptive categorization producing predicted intent probabilities. For this, we attempt to detect factors by which intent is formed, called intent features, by using a Web Q&A corpus. Our approach was motivated by the observation that questions related to queries are effective for finding intent features. We extract set of categories and their intent features automatically by analyzing questions within Web Q&A corpus, and categorize search results using these features. The advantages of our intent-based categorization are twofold, (1) presenting the most probable intent categories to help users clarify and choose starting points for Web searches, and (2) adapting sets of intent categories for each query. Experimental results show that distilled intent features can efficiently describe intent categories, and search results can be efficiently categorized without any human supervision.