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Merging Interactive Information Filtering and Recommender Algorithms – Model and Concept Demonstrator

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dc.contributor.authorLoepp, Benediktde_DE
dc.contributor.authorHerrmanny, Katjade_DE
dc.contributor.authorZiegler, Jürgende_DE
dc.contributor.editorZiegler, Jürgende_DE
dc.date.accessioned2017-11-20T08:44:08Z
dc.date.available2017-11-20T08:44:08Z
dc.date.issued2015
dc.description.abstractTo increase controllability and transparency in recommender systems, recent research has been putting more focus on integrating interactive techniques with recommender algorithms. In this paper, we propose a model of interactive recommending that structures the different interactions users can have with recommender systems. Furthermore, as a novel approach to interactive recommending, we describe a technique that combines faceted information filtering with different algorithmic recommender techniques. We refer to this approach as blended recommending. We also present an interactive movie recommender based on this approach and report on its user-centered design process, in particular an evaluation study in which we compared our system with a standard faceted filtering system. The results indicate a higher level of perceived user control, more detailed preference settings, and better suitability when the search goal is vague.
dc.identifier.pissn2196-6826de_DE
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/6178
dc.publisherDe Gruyterde_DE
dc.relation.ispartofi-com: Vol. 14, No. 1de_DE
dc.subjectModelsde_DE
dc.subjectRecommender Systemsde_DE
dc.subjectInteractive Recommendingde_DE
dc.subjectInformation Filteringde_DE
dc.subjectUser Interfacesde_DE
dc.titleMerging Interactive Information Filtering and Recommender Algorithms – Model and Concept Demonstratorde_DE
dc.typeText/Conference Paperde_DE
gi.citation.publisherPlaceBerlinde_DE
gi.citation.startPage5–17de_DE
gi.document.qualitydigidocde_DE

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i-com Band 14 (2015) Heft 1