A permeable expert search strategy approach to multimodal retrieval

作者: David Zellhöfer

DOI: 10.1145/2362724.2362739

关键词: Information seekingInformation needsHuman–computer information retrievalRelevance feedbackExploratory searchInformation retrievalConcept searchLearnabilityCognitive models of information retrievalComputer science

摘要: This paper presents an interactive multimodal retrieval system featuring multiple search strategies. In contrast to the system-centric perspective often found in multimedia retrieval, we follow a more user-centered approach considering as process. To assist this process, discussed supports directed and exploratory well faceted navigation transition between these information seeking strategies.In order integrate strategies, consistent interaction model based on principle of polyrepresentation is developed. complete functionality, preference-based mechanism for graded relevance feedback presented that overcomes limitations binary total order-based approaches. improve learnability give users back feeling control over various visualizations are offered open paths communication user bridge gap system's notion need one actual user.

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