Novel Query Expansion Method based on User Interest Context and Ontology
Lizhou Feng, Wanli Zuo, Youwei Wang · Advances in intelligent systems research/Advances in Intelligent Systems Research · 2015
We proposed a novel query expansion method by combining user interest and ontology.Firstly, users' interests are described by contextual words which are generated based on ontology, and the user interest degree with respect to each contextual word is calculated.Secondly, the contextual words are organized according to ontology relevance and divided into different subsets, and each subset can be seen as a candidate suggestion set.By calculating the weight of each contextual word, we obtain the meaningful expansions for a query.Comparative experiments show that, the proposed method is superior to other methods when precision and recall measurement are used and gives personalized query suggestions to users efficiently.