User modeling

User interface

World Wide Web

Process (computing)

Visualization

Information needs

Operating system

Economics

Data mining

Computer science

Anthropology

Exploratory search

Task (project management)

Management

Information visualization

Exploratory research

Sociology

Comprehension

Information retrieval

Programming language

Information seeking

Session (web analytics)

Human–computer interaction

Information space

ACM transactions on office information systems

Exploratory search requires the system to assist the user in comprehending the information space and expressing evolving search intents for iterative exploration and retrieval of information. We introduce interactive intent modeling, a technique that models a user’s evolving search intents and visualizes them as keywords for interaction. The user can provide feedback on the keywords, from which the system learns and visualizes an improved intent estimate and retrieves information. We report experiments comparing variants of a system implementing interactive intent modeling to a control system. Data comprising search logs, interaction logs, essay answers, and questionnaires indicate significant improvements in task performance, information retrieval performance over the session, information comprehension performance, and user experience. The improvements in retrieval effectiveness can be attributed to the intent modeling and the effect on users’ task performance, breadth of information comprehension, and user experience are shown to be dependent on a richer visualization. Our results demonstrate the utility of combining interactive modeling of search intentions with interactive visualization of the models that can benefit both directing the exploratory search process and making sense of the information space. Our findings can help design personalized systems that support exploratory information seeking and discovery of novel information.

Interactive Intent Modeling for Exploratory Search