作者: David Zellhöfer
关键词: Information seeking 、 Information needs 、 Human–computer information retrieval 、 Relevance feedback 、 Exploratory search 、 Information retrieval 、 Concept search 、 Learnability 、 Cognitive models of information retrieval 、 Computer 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.