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IntentStreams: Smart Parallel Search Streams for Branching Exploratory Search

Published: 18 March 2015 Publication History

Abstract

The user's understanding of information needs and the information available in the data collection can evolve during an exploratory search session. Search systems tailored for well-defined narrow search tasks may be suboptimal for exploratory search where the user can sequentially refine the expressions of her information needs and explore alternative search directions. A major challenge for exploratory search systems design is how to support such behavior and expose the user to relevant yet novel information that can be difficult to discover by using conventional query formulation techniques. We introduce IntentStreams, a system for exploratory search that provides interactive query refinement mechanisms and parallel visualization of search streams. The system models each search stream via an intent model allowing rapid user feedback. The user interface allows swift initiation of alternative and parallel search streams by direct manipulation that does not require typing. A study with 13 participants shows that IntentStreams provides better support for branching behavior compared to a conventional search system.

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  • (2022)Threddy: An Interactive System for Personalized Thread-based Exploration and Organization of Scientific LiteratureProceedings of the 35th Annual ACM Symposium on User Interface Software and Technology10.1145/3526113.3545660(1-15)Online publication date: 29-Oct-2022
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    cover image ACM Conferences
    IUI '15: Proceedings of the 20th International Conference on Intelligent User Interfaces
    March 2015
    480 pages
    ISBN:9781450333061
    DOI:10.1145/2678025
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    Published: 18 March 2015

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    Author Tags

    1. information exploration
    2. parallel browsing
    3. user interface design

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    IUI '15 Paper Acceptance Rate 47 of 205 submissions, 23%;
    Overall Acceptance Rate 746 of 2,811 submissions, 27%

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    View all
    • (2022)Threddy: An Interactive System for Personalized Thread-based Exploration and Organization of Scientific LiteratureProceedings of the 35th Annual ACM Symposium on User Interface Software and Technology10.1145/3526113.3545660(1-15)Online publication date: 29-Oct-2022
    • (2021)Directing and Combining Multiple Queries for Exploratory Search by Visual Interactive Intent ModelingHuman-Computer Interaction – INTERACT 202110.1007/978-3-030-85613-7_34(514-535)Online publication date: 26-Aug-2021
    • (2020)Introduction to Bandits in Recommender SystemsProceedings of the 14th ACM Conference on Recommender Systems10.1145/3383313.3411547(748-750)Online publication date: 22-Sep-2020
    • (2019)Bandit algorithms in recommender systemsProceedings of the 13th ACM Conference on Recommender Systems10.1145/3298689.3346956(574-575)Online publication date: 10-Sep-2019
    • (2018)Query Morphing: A Proximity-Based Approach for Data ExplorationFrom Natural to Artificial Intelligence - Algorithms and Applications10.5772/intechopen.77073Online publication date: 12-Dec-2018
    • (2018)Recommending Queries by Extracting Thematic Experiences from Complex Search TasksEntropy10.3390/e2006045920:6(459)Online publication date: 13-Jun-2018
    • (2018)Investigating Proactive Search Support in ConversationsProceedings of the 2018 Designing Interactive Systems Conference10.1145/3196709.3196734(1295-1307)Online publication date: 8-Jun-2018
    • (2018)Query Morphing: A Proximity-Based Data Exploration for Query ReformulationComputational Intelligence: Theories, Applications and Future Directions - Volume I10.1007/978-981-13-1132-1_20(247-259)Online publication date: 1-Aug-2018
    • (2017)Bandit Algorithms in Interactive Information RetrievalProceedings of the ACM SIGIR International Conference on Theory of Information Retrieval10.1145/3121050.3121108(327-328)Online publication date: 1-Oct-2017
    • (2017)Generating Query Suggestions to Support Task-Based SearchProceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval10.1145/3077136.3080745(1153-1156)Online publication date: 7-Aug-2017
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