Tactics used when searching for digital video
Proceedings of the third symposium on Information interaction in context
Identifying queries in the wild, wild web
Proceedings of the third symposium on Information interaction in context
Investigating variation in querying behavior for image searches on the web
Proceedings of the 73rd ASIS&T Annual Meeting on Navigating Streams in an Information Ecosystem - Volume 47
The semantics of query modification
RIAO '10 Adaptivity, Personalization and Fusion of Heterogeneous Information
A model for generating related weighted Boolean queries
IEA/AIE'10 Proceedings of the 23rd international conference on Industrial engineering and other applications of applied intelligent systems - Volume Part III
Improving web database search incorporating users query information
Proceedings of the International Conference on Web Intelligence, Mining and Semantics
Simulation of within-session query variations using a text segmentation approach
CLEF'11 Proceedings of the Second international conference on Multilingual and multimodal information access evaluation
Information Processing and Management: an International Journal
Explaining query modifications: an alternative interpretation of term addition and removal
ECIR'12 Proceedings of the 34th European conference on Advances in Information Retrieval
An exploratory study on search behavior in different languages
Proceedings of the 4th Information Interaction in Context Symposium
Geographic expansion of queries to improve the geographic information retrieval task
NLDB'12 Proceedings of the 17th international conference on Applications of Natural Language Processing and Information Systems
The impact of task phrasing on the choice of search keywords and on the search process and success
Journal of the American Society for Information Science and Technology
Search tactics as means of examining search processes in collaborative exploratory web search
Proceedings of the 5th Ph.D. workshop on Information and knowledge
Automatically mining question reformulation patterns from search log data
ACL '12 Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics: Short Papers - Volume 2
Proceedings of the 20th ACM international conference on Multimedia
Where do the query terms come from?: an analysis of query reformulation in collaborative web search
Proceedings of the 21st ACM international conference on Information and knowledge management
Relationship between the nature of the search task types and query reformulation behaviour
Proceedings of the Seventeenth Australasian Document Computing Symposium
Proceedings of the 24th Australian Computer-Human Interaction Conference
PAKDD'12 Proceedings of the 2012 Pacific-Asia conference on Emerging Trends in Knowledge Discovery and Data Mining
Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval
Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval
Ordinary search engine users carrying out complex search tasks
Journal of Information Science
Journal of Information Science
The use of query suggestions during information search
Information Processing and Management: an International Journal
When do people use query suggestion? A query suggestion log analysis
Information Retrieval
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Query reformulation is a key user behavior during Web search. Our research goal is to develop predictive models of query reformulation during Web searching. This article reports results from a study in which we automatically classified the query-reformulation patterns for 964,780 Web searching sessions, composed of 1,523,072 queries, to predict the next query reformulation. We employed an n-gram modeling approach to describe the probability of users transitioning from one query-reformulation state to another to predict their next state. We developed first-, second-, third-, and fourth-order models and evaluated each model for accuracy of prediction, coverage of the dataset, and complexity of the possible pattern set. The results show that Reformulation and Assistance account for approximately 45% of all query reformulations; furthermore, the results demonstrate that the first- and second-order models provide the best predictability, between 28 and 40% overall and higher than 70% for some patterns. Implications are that the n-gram approach can be used for improving searching systems and searching assistance. © 2009 Wiley Periodicals, Inc.