Study on classification of domain-oriented user exploration process for exploratory search

In the study of exploratory search, different supporting methods have already been proposed to meet users' different information needs. However, these methods are mostly targeted at different domains of user exploration process. In this paper, we study on a classification method of domain-oriented user exploration process for exploratory search to support determine user's search domains for search engines who will well-directed help users to complete exploratory tasks. First, we seek to define and built exploration process model base on tree structure. Second, we study on domain-oriented classification method based on user exploration process model and design a parameter training method based on ListNet. In the experimental stage, we compare the abilities between our method and two `baseline' methods. Results show that the precision, recall and F1-measure of our method is found to increase by 7 percent to 15 percent over these previous methods.