Information Needs for Anime Recommendation: Analyzing Anime Users' Online Forum Queries

Hyerim Cho, Marc L. Schmalz, Stephen A. Keating, Jin Ha Lee

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

Abstract

Despite the increasing consumption and popularity of audio-visual materials and non-textual information, recommendation-based information retrieval research regarding these materials remains limited. To provide robust recommendation services to users, it is critical to understand how users describe their needs when they seek audio- visual materials. We conducted a content analysis of 396 recommendation threads from Anime News Network online forums to identify 19 common information features used in these requests. Work, Theme, and Genre were the most frequently mentioned features when users described anime they were seeking. Findings also show Audience as an important anime information need. Together, these form a distinct set of interests, vital to understanding the information needs of anime users.

Original languageEnglish
Title of host publication2017 ACM/IEEE Joint Conference on Digital Libraries, JCDL 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538638613
DOIs
StatePublished - 25 Jul 2017
Event17th ACM/IEEE Joint Conference on Digital Libraries, JCDL 2017 - Toronto, Canada
Duration: 19 Jun 201723 Jun 2017

Publication series

NameProceedings of the ACM/IEEE Joint Conference on Digital Libraries
ISSN (Print)1552-5996

Conference

Conference17th ACM/IEEE Joint Conference on Digital Libraries, JCDL 2017
Country/TerritoryCanada
CityToronto
Period19/06/1723/06/17

Keywords

  • Animation
  • Anime
  • Audio-visual materials
  • Information needs
  • Information seeking behavior
  • Multimedia information
  • Query analysis

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