The Navigation of Topic Space

Jim Hahn

Research output: Contribution to conferencePaper

Abstract

This poster reports on the evaluation of the topic space recommendation model, proposed 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. Modern algorithms have also exhibited the problematic nature of reinforcing systematic bias.

Original languageEnglish (US)
Pages337-338
DOIs
StatePublished - 2018
EventThe 18th ACM/IEEE on Joint Conference on Digital Libraries - Fort Worth, United States
Duration: Jun 3 2018Jun 7 2018
https://2018.jcdl.org/

Conference

ConferenceThe 18th ACM/IEEE on Joint Conference on Digital Libraries
Abbreviated titleJCDL '18
CountryUnited States
CityFort Worth
Period6/3/186/7/18
Internet address

Keywords

  • Collection inventory
  • Browsing
  • bibliographic metadata

ASJC Scopus subject areas

  • Library and Information Sciences

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  • Cite this

    Hahn, J. (2018). The Navigation of Topic Space. 337-338. Paper presented at The 18th ACM/IEEE on Joint Conference on Digital Libraries, Fort Worth, United States. https://doi.org/10.1145/3197026.3203892