Exploring the filter bubble: the effect of using recommender systems on content diversity

    WWW, pp. 677-686, 2014.

    Cited by: 246|Bibtex|Views43|Links
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    Keywords:
    items userrecommender systemuser experiencecollaborative filtering-based recommender systemcontent diversityMore(6+)

    Abstract:

    Eli Pariser coined the term 'filter bubble' to describe the potential for online personalization to effectively isolate people from a diversity of viewpoints or content. Online recommender systems - built on algorithms that attempt to predict which items users will most enjoy consuming - are one family of technologies that potentially suf...More

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