research-article

I tag, you tag: translating tags for advanced user models

Authors:

Robert Wetzker,

Carsten Zimmermann,

Christian Bauckhage,

Sahin AlbayrakAuthors Info & Claims

WSDM '10: Proceedings of the third ACM international conference on Web search and data mining

Pages 71 - 80

https://doi.org/10.1145/1718487.1718497

Published: 04 February 2010 Publication History

Abstract

Collaborative tagging services (folksonomies) have been among the stars of the Web 2.0 era. They allow their users to label diverse resources with freely chosen keywords (tags). Our studies of two real-world folksonomies unveil that individual users develop highly personalized vocabularies of tags. While these meet individual needs and preferences, the considerable differences between personal tag vocabularies (personomies) impede services such as social search or customized tag recommendation. In this paper, we introduce a novel user-centric tag model that allows us to derive mappings between personal tag vocabularies and the corresponding folksonomies. Using these mappings, we can infer the meaning of user-assigned tags and can predict choices of tags a user may want to assign to new items. Furthermore, our translational approach helps in reducing common problems related to tag ambiguity, synonymous tags, or multilingualism. We evaluate the applicability of our method in tag recommendation and tag-based social search. Extensive experiments show that our translational model improves the prediction accuracy in both scenarios.

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Cited By

Jabeen DKhusro SAnjum N(2023)Research in Collaborative Tagging Applications: Choosing the Right DatasetVAWKUM Transactions on Computer Sciences10.21015/vtcs.v11i1.130511:1(01-25)Online publication date: 5-Mar-2023
https://doi.org/10.21015/vtcs.v11i1.1305
Xu S(2022)Effective Graph Mining for Educational Data Mining and Interest RecommendationApplied Bionics and Biomechanics10.1155/2022/76101242022(1-5)Online publication date: 12-Aug-2022
https://doi.org/10.1155/2022/7610124
Benis AChatsubi ALevner EAshkenazi S(2021)Change in Threads on Twitter Regarding Influenza, Vaccines, and Vaccination During the COVID-19 Pandemic: Artificial Intelligence–Based Infodemiology StudyJMIR Infodemiology10.2196/319831:1(e31983)Online publication date: 14-Oct-2021
https://doi.org/10.2196/31983
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Index Terms

I tag, you tag: translating tags for advanced user models
1. Information systems
  1. Information retrieval
    1. Retrieval models and ranking
  2. World Wide Web
    1. Web applications
    2. Web services

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cover image ACM Conferences

WSDM '10: Proceedings of the third ACM international conference on Web search and data mining

February 2010

468 pages

ISBN:9781605588896

DOI:10.1145/1718487

General Chairs:
Brian D. Davison
Lehigh University, USA
,
Torsten Suel
Polytechnic Institute of NYU, USA
,
Program Chairs:
Nick Craswell
Microsoft, USA
,
Bing Liu
University of Illinois, Chicago, USA

Copyright © 2010 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 04 February 2010

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WSDM'10: Third ACM International Conference on Web Search and Data Mining

February 4 - 6, 2010

New York, New York, USA

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Cited By

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https://doi.org/10.21015/vtcs.v11i1.1305
Xu S(2022)Effective Graph Mining for Educational Data Mining and Interest RecommendationApplied Bionics and Biomechanics10.1155/2022/76101242022(1-5)Online publication date: 12-Aug-2022
https://doi.org/10.1155/2022/7610124
Benis AChatsubi ALevner EAshkenazi S(2021)Change in Threads on Twitter Regarding Influenza, Vaccines, and Vaccination During the COVID-19 Pandemic: Artificial Intelligence–Based Infodemiology StudyJMIR Infodemiology10.2196/319831:1(e31983)Online publication date: 14-Oct-2021
https://doi.org/10.2196/31983
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https://dl.acm.org/doi/10.1145/3415194
Pascoal RAlmeida ASofia R(2020)Mobile Pervasive Augmented Reality Systems—MPARSACM Transactions on Internet Technology10.1145/337545820:1(1-17)Online publication date: 7-Feb-2020
https://dl.acm.org/doi/10.1145/3375458
Kuang LYang LLiao Y(2020)An Integration Framework on Cloud for Cyber-Physical-Social Systems Big DataIEEE Transactions on Cloud Computing10.1109/TCC.2015.25117668:2(363-374)Online publication date: 1-Apr-2020
https://doi.org/10.1109/TCC.2015.2511766
Dua ASharma PKumar KKumar NSingh U(2019)Fuzzy Rough Set based Social IoT Recommender System2019 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS)10.1109/ANTS47819.2019.9118090(1-6)Online publication date: Dec-2019
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(2018)A tag-based recommender system framework for social bookmarking websitesInternational Journal of Web Based Communities10.5555/3282769.328277514:3(303-322)Online publication date: 1-Jan-2018
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Choi JTausczik Y(2018)Will Too Many Editors Spoil The Tag?Proceedings of the ACM on Human-Computer Interaction10.1145/32743072:CSCW(1-19)Online publication date: 1-Nov-2018
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Kuang LYang LChen JHao FLuo C(2018)A Holistic Approach for Distributed Dimensionality Reduction of Big DataIEEE Transactions on Cloud Computing10.1109/TCC.2015.24498556:2(506-518)Online publication date: 1-Apr-2018
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