A personalised query suggestion agent based on query-concept bipartite graphs and Concept Relation Trees
Yan Chen, Yan Qing Zhang · International Journal of Advanced Intelligence Paradigms · 2009
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.