Relational thesauri in information retrieval
Journal of the American Society for Information Science
Integrating query thesaurus, and documents through a common visual representation
SIGIR '91 Proceedings of the 14th annual international ACM SIGIR conference on Research and development in information retrieval
Bead: explorations in information visualization
SIGIR '92 Proceedings of the 15th annual international ACM SIGIR conference on Research and development in information retrieval
An interface for navigating clustered document sets returned by queries
COCS '93 Proceedings of the conference on Organizational computing systems
InfoCrystal: a visual tool for information retrieval & management
CIKM '93 Proceedings of the second international conference on Information and knowledge management
Reexamining the cluster hypothesis: scatter/gather on retrieval results
SIGIR '96 Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval
Grouper: a dynamic clustering interface to Web search results
WWW '99 Proceedings of the eighth international conference on World Wide Web
Finding topic words for hierarchical summarization
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
Cumulated gain-based evaluation of IR techniques
ACM Transactions on Information Systems (TOIS)
Automatic acquisition of hyponyms from large text corpora
COLING '92 Proceedings of the 14th conference on Computational linguistics - Volume 2
Generic soft pattern models for definitional question answering
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Information extraction for question answering: improving recall through syntactic patterns
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
Tree Systems for Syntactic Pattern Recognition
IEEE Transactions on Computers
Search User Interfaces
Collaborative exploratory search in real-world context
Proceedings of the 20th ACM international conference on Information and knowledge management
Proceedings of the fifth ACM international conference on Web search and data mining
A question answer approach to building semantic memory
ICAISC'12 Proceedings of the 11th international conference on Artificial Intelligence and Soft Computing - Volume Part II
Disputed sentence suggestion towards credibility-oriented web search
APWeb'12 Proceedings of the 14th Asia-Pacific international conference on Web Technologies and Applications
Efficient query construction for large scale data
Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval
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Web search is generally motivated by an information need. Since asking well-formulated questions is the fastest and the most natural way to obtain information for human beings, almost all queries posed to search engines correspond to some underlying questions, which reflect the user's information need. Accurate determination of these questions may substantially improve the quality of search results and usability of search interfaces. In this paper, we propose a new framework for question-guided search, in which a retrieval system would automatically generate potentially interesting questions to users based on the search results of a query. Since the answers to such questions are known to exist in the search results, these questions can potentially guide users directly to the answers that they are looking for, eliminating the need to scan the documents in the result list. Moreover, in case of imprecise or ambiguous queries, automatically generated questions can naturally engage users into a feedback cycle to refine their information need and guide them towards their search goals. Implementation of the proposed strategy raises new challenges in content indexing, question generation, ranking and feedback. We propose new methods to address these challenges and evaluated them with a prototype system on a subset of Wikipedia. Evaluation results show the promise of this new question-guided search strategy.