Study On An Exploratory Search Selective Query Recommendation Method Based On User Ability

In a process of information search,if a user is not familiar with the target domain,or a search task itself is relatively complex,or the index of information system is not sufficient,the search behaviors of users are called exploratory search.Query recommendation is an effective support method for exploratory search,which could find the queries or keywords related to the initial query or keyword,helping users find the concepts that they need to learn.In a process of exploratory search,as each user's learning ability is different,their understanding of the query recommendations are different.Therefore,it would be better in helping users complete the exploratory search if the query recommendations could be targeted selected.In view of the above questions,this thesis studies an exploratory search selective query recommendation method based on user ability.Firstly,to describe the user's current knowledge and the knowledge which is needed for learning new knowledge,the thesis has a research on how to build the user knowledge model and the concept relation model.Secondly,to measure the user's understanding of concepts,this thesis studies a method to measure the user's understanding of concepts.Thirdly,to generate the users' learning paths,this thesis has a research on how to generate the users' learning paths according to user logs.At last,this thesis studies a method that could select the most suitable path for a specific user from the generated learning paths,then guide the user to learn the concept which is unable to be understood.In details,first of all,based on the large-scale resources in the Folksonomy,this thesis completes the construction of user knowledge model and the concept relation model after extracting the valuable information.Then computing the concepts which the user could understand and the concepts which the user could not understand on the basis of the user knowledge model and the concept relation model.Subsequently,this thesis constructs the user's query sequence network through analyzing and processing the user logs,and generating the set of learning paths of target concepts.Finally,based on the information including the concept set the user could understand,the concept set the user could not understand,the set of learning paths,this thesis utilizes the method based on the user's understanding ability of concepts,considering various factors,and selecting the most suitable path for a specific user,realizing the exploratory search selective query recommendation method based on user ability.In order to verify the effect of the user ability measurement and the learning path selection,this thesis makes the experiments from the aspect of subjective and objective respectively.Experiment results show that the proposed exploratory search selective query recommendation method based on user ability could help the users complete the exploratory search tasks.