A personalised query suggestion agent based on query-concept bipartite graphs and Concept Relation Trees
by Yan Chen, Yan-Qing Zhang
International Journal of Advanced Intelligence Paradigms (IJAIP), Vol. 1, No. 4, 2009

Abstract: 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.

Online publication date: Thu, 25-Jun-2009

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