User perspectives on personalized account-based recommender systems

Jim Hahn

Research output: Contribution to journalArticlepeer-review

Abstract

This research is focused on understanding user preferences for "my account"-based recommendations of library content. By interviewing users we have explored user attitudes about three areas of recommendation services; including 1) eliciting preferences for recommendation, 2) displaying recommendations, and 3) revising recommendations based on results. User interviews indicated a need for crafting recommender services in library settings with transparent functionality. Users requested that system designers make clear how recommendations are designed and provided. Further findings indicated a desire to use recommender systems to explore interdisciplinary research domains that have otherwise not been considered.
Original languageEnglish (US)
Number of pages22
JournalThe Proceedings of the ACRL 2019 Conference April 10-13, 2019
StatePublished - Apr 11 2019

Keywords

  • recommendation system
  • User study
  • Student interviews
  • Personalisation

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