Agglomerative clustering of a search engine query log
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
An information-theoretic approach to automatic query expansion
ACM Transactions on Information Systems (TOIS)
Query clustering using user logs
ACM Transactions on Information Systems (TOIS)
Journal of the American Society for Information Science and Technology
Query Expansion by Mining User Logs
IEEE Transactions on Knowledge and Data Engineering
Introduction to Data Mining, (First Edition)
Introduction to Data Mining, (First Edition)
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
WordNet Nouns: Classes and Instances
Computational Linguistics
Learn from web search logs to organize search results
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Exploiting underrepresented query aspects for automatic query expansion
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
Evaluating bag-of-visual-words representations in scene classification
Proceedings of the international workshop on Workshop on multimedia information retrieval
Advertising keyword suggestion based on concept hierarchy
WSDM '08 Proceedings of the 2008 International Conference on Web Search and Data Mining
Proceedings of the 2008 ACM symposium on Applied computing
TF-IDF uncovered: a study of theories and probabilities
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Deep classification in large-scale text hierarchies
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Query recommendation using query logs in search engines
EDBT'04 Proceedings of the 2004 international conference on Current Trends in Database Technology
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Queries submitted to a web search engine are usually short and ambiguous. Query suggestion is a way for extending queries to allow search engines to better speculate exact meanings of short and ambiguous queries. This paper proposes a personalised query suggestion agent that uses the Query-Concept bipartite graphs and Concept Relation Trees (CRTs) for query suggestion. The agent dynamically updates weights between Query-Concept and Concept-Concept to personalise suggestions. Simulation results show that the new personalised query suggestion agent works effectively.