User search intention in interactive data exploration: A brief review

Abstract

Data exploration finds relevant data efficiently even if a user doesn’t know exactly what he/she is aiming for. These exploratory search paradigms are not well-supported in traditional database systems, thus interactive data exploratory (IDE) system evolved. A naïve data user exhibits various kinds of search behavior while formulating exploratory queries. In IDE system, each user interaction leads to more relevant results, due to its highly interactive and user-centric approach. To understand why and what user is searching for, more efficient data exploration systems need to be designed. This paper aims to discuss various factors affecting the user search behavior, how an IDE system support user. Various practices for measuring system support’s effectiveness are also highlighted. Finally, proposed a strategy for modeling the user search intentions for exploratory queries in IDE systems.