Making Ukiyo-e Easier to Discover: A Recommender System for Digital Archives

poster / demo / art installation
Authorship
  1. 1. Jiayun Wang

    Graduate School of Information Science and Engineering - Ritsumeikan University

  2. 2. Biligsaikhan Batjargal

    Kinugasa Research Organization - Ritsumeikan University

  3. 3. Akira Maeda

    College of Information Science and Engineering - Ritsumeikan University

  4. 4. Kyoji Kawagoe

    College of Information Science and Engineering - Ritsumeikan University

  5. 5. Ryo Akama

    School of Letters - Ritsumeikan University

Work text
This plain text was ingested for the purpose of full-text search, not to preserve original formatting or readability. For the most complete copy, refer to the original conference program.

Ukiyo-e is a kind of woodblock print that has high artistic and research value. It is preserved by many digital archives (DAs), such as the Art Research Center Ukiyo-e Portal Database (ARC-UDB) of Ritsumeikan University. ARC-UDB is mainly built for the experts of humanities fields. In this research, to meet the potential needs of the expert users who will browse or explore ARC-UDB, we propose a recommender system. The proposed recommender system utilizes an existing link prediction model, which exploits the graph-like datasets of ARC-UDB as the input of the recommendation algorithm. We optimize the format of input of the link prediction model, to the format that is suitable for ARC-UDB datasets. From the results, we find that the proposed method is effective for the task. This recommender system could also be applied to other DAs that are with graph-like dataset structures.

Full text license: This text is republished here with permission from the original rights holder.

If this content appears in violation of your intellectual property rights, or you see errors or omissions, please reach out to Scott B. Weingart to discuss removing or amending the materials.

Conference Info

In review

ADHO - 2020
"carrefours / intersections"

Hosted at Carleton University, Université d'Ottawa (University of Ottawa)

Ottawa, Ontario, Canada

July 20, 2020 - July 25, 2020

475 works by 1078 authors indexed

Conference cancelled due to coronavirus. Online conference held at https://hcommons.org/groups/dh2020/. Data for this conference were initially prepared and cleaned by May Ning.

Conference website: https://dh2020.adho.org/

References: https://dh2020.adho.org/abstracts/

Series: ADHO (15)

Organizers: ADHO

Tags