From recommendation to curation: When the system becomes your personal docent

Nevena Dragovic, Ion Madrazo Azpiazu, Maria Soledad Pera

Research output: Contribution to journalConference articleScientificpeer-review

Abstract

Curation is the act of selecting, organizing, and presenting content. Some applications emulate this process by turning users into curators, while others use recommenders to select items, seldom achieving the focus or selectivity of human curators. We bridge this gap with a recommendation strategy that more closely mimics the objectives of human curators. We consider multiple data sources to enhance the recommendation process, as well as the quality and diversity of the provided suggestions. Further, we pair each suggestion with an explanation that showcases why a book was recommended with the aim of easing the decision making process for the user. Empirical studies using Social Book Search data demonstrate the effectiveness of the proposed methodology.

Original languageEnglish
Pages (from-to)37-44
Number of pages8
JournalCEUR Workshop Proceedings
Volume2225
Publication statusPublished - 2018
Externally publishedYes
Event5th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems, IntRS 2018 - Vancouver, Canada
Duration: 7 Oct 20187 Oct 2018

Keywords

  • Curation
  • Decision-making
  • Diversity
  • Personalization
  • Time series

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