loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Takamichi Miyata 1 ; Yoshinori Sakai 1 ; Yasuhiro Inazumi 2 ; Aki Kobayashi 3 and Akira Sasaki 1

Affiliations: 1 Tokyo Institute of Technology, Japan ; 2 University of Toyama, Japan ; 3 Kogakuin University, Japan

Keyword(s): Social bookmarking, Recommendation system, Collaborative filtering.

Related Ontology Subjects/Areas/Topics: Personalized Web Sites and Services ; Web Information Systems and Technologies ; Web Interfaces and Applications

Abstract: Web-based bookmark management services called social bookmarking has been in the spotlight recently. Social bookmarking allows users to add several keywords called tags to items they bookmarked. Many previous works on social bookmarking using actual words for tags, called folksonomy, have come out. However, essential information of tags is not represented in their tag names, but in the classification of items by tags. Based on this assumption, we propose an anti-folksonomical recommendation system for calculating similarities between groups of items classified according to tags. In addition, we use hypothesis testing to improve these similarities based on statistical reliability. The experimental results show that our proposed system provides an appropriate recommendation result even if users tagged with different keywords.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.144.187.103

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Miyata, T.; Sakai, Y.; Inazumi, Y.; Kobayashi, A. and Sasaki, A. (2009). ANTI-FOLKSONOMICAL ITEM RECOMMENDATION SYSTEM BASED ON SIMILARITIES BETWEEN ITEM CLUSTERS IN SOCIAL BOOKMARKING. In Proceedings of the Fifth International Conference on Web Information Systems and Technologies - WEBIST; ISBN 978-989-8111-81-4; ISSN 2184-3252, SciTePress, pages 605-612. DOI: 10.5220/0001824206050612

@conference{webist09,
author={Takamichi Miyata. and Yoshinori Sakai. and Yasuhiro Inazumi. and Aki Kobayashi. and Akira Sasaki.},
title={ANTI-FOLKSONOMICAL ITEM RECOMMENDATION SYSTEM BASED ON SIMILARITIES BETWEEN ITEM CLUSTERS IN SOCIAL BOOKMARKING},
booktitle={Proceedings of the Fifth International Conference on Web Information Systems and Technologies - WEBIST},
year={2009},
pages={605-612},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001824206050612},
isbn={978-989-8111-81-4},
issn={2184-3252},
}

TY - CONF

JO - Proceedings of the Fifth International Conference on Web Information Systems and Technologies - WEBIST
TI - ANTI-FOLKSONOMICAL ITEM RECOMMENDATION SYSTEM BASED ON SIMILARITIES BETWEEN ITEM CLUSTERS IN SOCIAL BOOKMARKING
SN - 978-989-8111-81-4
IS - 2184-3252
AU - Miyata, T.
AU - Sakai, Y.
AU - Inazumi, Y.
AU - Kobayashi, A.
AU - Sasaki, A.
PY - 2009
SP - 605
EP - 612
DO - 10.5220/0001824206050612
PB - SciTePress

- Science and Technology Publications, Lda.
RESOURCES

Proceedings

Papers

Authors

Ontology

CONTACTS

Science and Technology Publications, Lda
Avenida de S. Francisco Xavier, Lote 7 Cv. C,
2900-616 Setúbal, Portugal.

Phone: +351 265 520 185 (National fixed network call)
Fax: +351 265 520 186
Email: info@scitepress.org

EXTERNAL LINKS

PRIMORIS

INSTICC

SCITEVENTS

CROSSREF

PROCEEDINGS SUBMITTED FOR INDEXATION BY:

dblp

Ei Compendex

SCOPUS

Semantic Scholar

Google Scholar

Microsoft Academic