Analyzing User Requests for Anime Recommendations

Lee, Jin Ha; Shim, Yuna; Jett, Jacob

doi:10.1145/2756406.2756969

Cited by 8 publications

(10 citation statements)

References 7 publications

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“…The identified codes were compared, contrasted, and merged into a single list. Analysis showed some identified codes had similarities with previous studies by Lee et al (2015Lee et al ( , 2017. Where appropriate, codes representing concepts analogous to those studies were labeled the same way for consistency.…”

Section: Methodssupporting

confidence: 80%

“…Prior studies provide some basic information about anime user needs. For instance, Lee et al (2015) analyzed recommendation questions in a Korean online anime Q&A community to identify the primary features of anime described by users. The authors found 13 prominent features: genre, title, mood, story, series, style, character, audience, length, scene, temporal, character name, and format.…”

Section: Relevant Researchmentioning

confidence: 99%

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Analyzing anime users’ online forum queries for recommendation using content analysis

Cho

Schmalz

Keating

et al. 2018

Self Cite

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Purpose The purpose of this paper is to improve the understanding of relevant information features for users seeking anime recommendations. Design/methodology/approach The study uses content analysis of 396 recommendation request threads from the online forum at Anime News Network. Findings In total, 19 important anime information features were identified, including Work, Theme, Genre, Audience, Mood, while Artwork/Visual Style, Audio Style, and Language were mentioned less frequently. However, when mentioned, these codes were discussed with specificity and depth. Research limitations/implications This study analyzed a relatively small number of 396 forum records, without demographic information. Using content analysis of online forum threads written by real users provided both informational breadth and depth. Future studies would benefit from using content analysis to investigate unfamiliar multimedia information and user groups. Practical implications The findings of this study can be implemented in anime-related databases and information systems to enhance organization, browsing/retrieval, and recommendation of anime, which can be further utilized for other audiovisual materials. Originality/value This is one of the few studies that investigate what anime users need and want. This research examines an understudied cultural medium, underserved by current research, despite an expanding community of anime users.

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Section: Methodssupporting

confidence: 80%

Section: Relevant Researchmentioning

confidence: 99%

Analyzing anime users’ online forum queries for recommendation using content analysis

Cho

Schmalz

Keating

et al. 2018

Self Cite

View full text Add to dashboard Cite

show abstract

“…In a previous study on investigating anime users' information needs for recommendations (Cho et al 2017), genre was one of the most frequently mentioned features used to get recommendations (ranked third among nineteen features identified). Lee, Shim, and Jett (2015) also had similar findings: genre was the second https://doi.org/10.5771/0943-7444-2020-1-13 Generiert durch IP '44.224.250.200', am 03.11.2020, 14:49:22. Das Erstellen und Weitergeben von Kopien dieses PDFs ist nicht zulässig.…”

Section: Introductionmentioning

confidence: 57%

Facet Analysis of Anime Genres: The Challenges of Defining Genre Information for Popular Cultural Objects

Cho¹,

Disher²,

Lee³

et al. 2020

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“…The inadequacies of existing bibliographic models when applied to more niche formats and media are a common theme in some research on entities in popular culture. Studies that have focused on video games and anime (Jett, Sacchi, Lee, & Clarke, 2016;Lee, Shim, & Jett 2015) have found that models such as FRBR are unable to adequately portray the complex relationships between these resources and also fail to provide a level of description that sufficiently addresses user requirements. These studies emphasized the need for more detailed metadata to describe features such as genre, as these are deemed by users to be vital for search and discovery.…”

Section: Literature Reviewmentioning

confidence: 99%

“…These studies emphasized the need for more detailed metadata to describe features such as genre, as these are deemed by users to be vital for search and discovery. Lee, Shim, and Jett (2015) performed a user study of fans of Japanese anime and noted the need for more descriptive metadata, including genre, art style and character types. Similar findings were reported by Kiryakos and Sugimoto (2015) and Kiryakos, Sugimoto, Nagamori, and Mihara (2016), who found that the incorporation of data from fan pages or other hobbyist Web resources, which were at different levels of granularity, could better meet the level of detail that users of popular culture materials required.…”

Section: Literature Reviewmentioning

confidence: 99%

The representation of a multimedia franchise as a single entity: contrasting existing bibliographic entities with web-based Superwork portrayals

Kiryakos¹,

Sugimoto²

2018

LIBRES

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Background. Multimedia franchises may have a single origin, but over time develop into a network of related creative works in various media formats such as film, novels, animation, and video games. A single entity to represent a whole franchise is often utilized on the Web, but the ability for existing bibliographic models to represent this entity, which we refer to as the Superwork, is unclear.Objective. This research sought to determine whether entities representing multimedia franchises and the relationships they contain can be accurately portrayed using current models and, if not, how a new entity can be differentiated from the entities in the existing models. It also examines the role of existing franchise-level concepts on the Web and their ability to define properties and boundaries. Methods. We contrasted the franchise-level concept against official documentation and past research into similar entities (i.e. FRBR Work and FRBR OO Complex Work). A mapping and analysis of franchise articles on Wikipedia was performed to identify user-created boundaries and relationships between related instances. Results. The analysis revealed that the concept of a singular entity for a multimedia franchise was not the intended use for existing bibliographic entities, and that users will create such entities to collocate resources belonging to a single franchise. The Wikipedia mapping showed how and where users established relationships between works and media types, and thus what entities the Superwork should be directly connected to. Contribution. This study builds upon past bibliographic family and transmedia research, and suggests that more effort should be put towards examining existing collocation activities of users.

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Analyzing User Requests for Anime Recommendations

Cited by 8 publications

References 7 publications

Analyzing anime users’ online forum queries for recommendation using content analysis

Analyzing anime users’ online forum queries for recommendation using content analysis

Facet Analysis of Anime Genres: The Challenges of Defining Genre Information for Popular Cultural Objects

The representation of a multimedia franchise as a single entity: contrasting existing bibliographic entities with web-based Superwork portrayals

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