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Title:The Navigation of Topic Space
Author(s):Hahn, James F.
Subject(s):content filter bubbles
topic space
recommender model
mobile information behavior
Abstract:The evaluation of the topic space recommendation model is explored here as an alternative to the personalization algorithms based on large datasets that often result in content and subject matter filter bubbles. The content filter bubbles that dominate contemporary Internet media platforms have been shown to provide users more of what they already consume and exclude relevant content at the expense of user exploration and discovery.
Issue Date:2018-04-10
Citation Info:Han, J. (2018, April). The Navigation of Topic Space. Library Research Showcase, University Library, University of Illinois at Urbana-Champaign, Urbana, IL
Genre:Conference Poster
Date Available in IDEALS:2018-08-01

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