Induction of one-level decision trees
ML92 Proceedings of the ninth international workshop on Machine learning
Query expansion using local and global document analysis
SIGIR '96 Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval
Deriving concept hierarchies from text
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
Automatic query wefinement using lexical affinities with maximal information gain
SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval
Hierarchical approach to term suggestion device
SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval
Using terminological feedback for web search refinement: a log-based study
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
Re-examining the potential effectiveness of interactive query expansion
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
Using Association Rules to Discover Search Engines Related Queries
LA-WEB '03 Proceedings of the First Conference on Latin American Web Congress
Mining anchor text for query refinement
Proceedings of the 13th international conference on World Wide Web
Intelligent Document Retrieval: Exploiting Markup Structure (The Information Retrieval Series)
Intelligent Document Retrieval: Exploiting Markup Structure (The Information Retrieval Series)
A study of interface support mechanisms for interactive information retrieval
Journal of the American Society for Information Science and Technology - Research Articles
Generating query substitutions
Proceedings of the 15th international conference on World Wide Web
Studying the use of popular destinations to enhance web search interaction
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Random walks on the click graph
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Query suggestion based on user landing pages
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Extracting semantic relations from query logs
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
How does clickthrough data reflect retrieval quality?
Proceedings of the 17th ACM conference on Information and knowledge management
The query-flow graph: model and applications
Proceedings of the 17th ACM conference on Information and knowledge management
Search shortcuts: a new approach to the recommendation of queries
Proceedings of the third ACM conference on Recommender systems
Query reformulation using anchor text
Proceedings of the third ACM international conference on Web search and data mining
Query similarity by projecting the query-flow graph
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
Exploring the use of labels to shortcut search trails
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
AutoEval: an evaluation methodology for evaluating query suggestions using query logs
ECIR'11 Proceedings of the 33rd European conference on Advances in information retrieval
Generating suggestions for queries in the long tail with an inverted index
Information Processing and Management: an International Journal
Analysis of query reformulations in a search engine of a local web site
ECIR'12 Proceedings of the 34th European conference on Advances in Information Retrieval
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A concept hierarchy created from a document collection can be used for query recommendation on Intranets by ranking terms according to the strength of their links to the query within the hierarchy. A major limitation is that this model produces the same recommendations for identical queries and rebuilding it from scratch periodically can be extremely inefficient due to the high computational costs. We propose to adapt the model by incorporating query refinements from search logs. Our intuition is that the concept hierarchy built from the collection and the search logs provide complementary conceptual views on the same search domain, and their integration should continually improve the effectiveness of recommended terms. Two adaptation approaches using query logs with and without click information are compared. We evaluate the concept hierarchy models (static and adapted versions) built from the Intranet collections of two academic institutions and compare them with a state-of-the-art log-based query recommender, the Query Flow Graph, built from the same logs. Our adaptive model significantly outperforms its static version and the query flow graph when tested over a period of time on data (documents and search logs) from two institutions' Intranets.