User interactions with search systems

Ying-Hsang Liu, Chang Liu, Ralf Bierig

    Research output: Book chapter/Published conference paperConference paperpeer-review


    The proposed course on User Interactions with Search Systems provides students an overview on interactive information retrieval (IIR) evaluation studies that is specifically focused on the modelling of users, tasks and contexts, and methods for IIR studies. This thread of research has attracted more information retrieval (IR) researchers in recent years, as evidenced by the establishment of the ACM SIGIR Conference on Human Information Interaction and Retrieval series (CHIIR). Given recent interests in machine learning, social media data analysis and emerging system-oriented interactive search models, this course provides students with a more complete picture for understanding user search behaviour and user-oriented approaches for the evaluation of IR systems. It emphasises how user aspects should be addressed from theoretical, conceptual, design and evaluation perspectives for IR theory and system development. This important research area has been rarely taught at the International Conference on the Theory of Information Retrieval (ICTIR).
    Original languageEnglish
    Title of host publicationICTIR '18
    Subtitle of host publicationProceedings of the 2018 ACM SIGIR International Conference on Theory of Information Retrieval
    Place of PublicationNew York, NY, USA
    Number of pages2
    ISBN (Print)9781450356565
    Publication statusPublished - 2018
    EventThe 4th ACM SIGIR International Conference on the Theory of Information Retrieval, ICTIR 2018: ICTIR 2018 - Tianjin Westin Hotel, Tianjin, China
    Duration: 14 Sept 201817 Sept 2018 (Conference website) (proceedings front matter) (proceedings authors)

    Publication series

    NameICTIR '18


    ConferenceThe 4th ACM SIGIR International Conference on the Theory of Information Retrieval, ICTIR 2018
    OtherThe ACM SIGIR International Conference on the Theory of Information Retrieval (ICTIR) provides a forum for the presentation and discussion of research related to the foundational aspects of Information Retrieval (IR), including, for example, human search processes; search and recommendation; learning and optimization; language and representations; sensory information; artificial intelligence, ethics and responsibility in information retrieval.
    The conference explicitly welcomes papers on core IR and any paper on connections between IR and its neighboring disciplines. We welcome experimental and industrial papers that validate approaches from the lens of practical applicability. Such papers should, apart from validating the practical applicability of an existing approach, provide a clear message to the community as to which aspects need further (theoretical) investigation, based on the experimental findings.
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