A data mining approach to predict users´ Next question in QA system

Author

Madaan, Rosy ; Sharma, A.K. ; Dixit, Ashutosh

Author_Institution

Dept. of Comput. Eng., Y.M.C.A.U.S.T., Faridabad, India

fYear

2015

fDate

11-13 March 2015

Firstpage

211

Lastpage

215

Abstract

In a Question Answering system, the user submits a question and waits for the answer as the response. If the system is capable of predicting the user´s future interest as the next question, its performance will improve greatly. This paper predicts users´ future questions based on the current interaction records of the user with the system. Their current interactions with the system show what they are interested in. These interaction records are maintained in the form of Questions log from which the user sessions are extracted. Based on the user sessions, the system predicts the next question for which the user may become interested in near future. A sample Questions Log is selected for the purpose of performing experiments. The model of Association rule mining is applied to predict the future question of the user.

Keywords

data mining; human computer interaction; question answering (information retrieval); QA system; association rule mining; data mining; question answering system; questions log; user interaction records; users next question prediction; Association rules; Computer architecture; Itemsets; Knowledge discovery; Search engines; A-priori algorithm; Association rule mining; Data mining; QA system; Search engines;

fLanguage

English

Publisher

ieee

Conference_Titel

Computing for Sustainable Global Development (INDIACom), 2015 2nd International Conference on

Conference_Location

New Delhi

Print_ISBN

978-9-3805-4415-1

Type

conf

Filename

7100247