research-article

Personalized, interactive tag recommendation for flickr

Authors:

Nikhil Garg,

Ingmar WeberAuthors Info & Claims

RecSys '08: Proceedings of the 2008 ACM conference on Recommender systems

Pages 67 - 74

https://doi.org/10.1145/1454008.1454020

Published: 23 October 2008 Publication History

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Abstract

We study the problem of personalized, interactive tag recommendation for Flickr: While a user enters/selects new tags for a particular picture, the system suggests related tags to her, based on the tags that she or other people have used in the past along with (some of) the tags already entered. The suggested tags are dynamically updated with every additional tag entered/selected. We describe a new algorithm, called Hybrid, which can be applied to this problem, and show that it outperforms previous algorithms. It has only a single tunable parameter, which we found to be very robust.

Apart from this new algorithm and its detailed analysis, our main contributions are (i) a clean methodology which leads to conservative performance estimates, (ii) showing how classical classification algorithms can be applied to this problem, (iii) introducing a new cost measure, which captures the effort of the whole tagging process, (iv) clearly identifying, when purely local schemes (using only a user's tagging history) can or cannot be improved by global schemes (using everybody's tagging history).

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Cited By

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Khalil MWang QChen BWang W(2023)Cross-modality representation learning from transformer for hashtag predictionJournal of Big Data10.1186/s40537-023-00824-210:1Online publication date: 28-Sep-2023
https://doi.org/10.1186/s40537-023-00824-2
Kutlimuratov AAbdusalomov AWhangbo T(2020)Evolving Hierarchical and Tag Information via the Deeply Enhanced Weighted Non-Negative Matrix Factorization of Rating PredictionsSymmetry10.3390/sym1211193012:11(1930)Online publication date: 23-Nov-2020
https://doi.org/10.3390/sym12111930
Yang CWang XJiang B(2020)Sentiment Enhanced Multi-Modal Hashtag Recommendation for Micro-VideosIEEE Access10.1109/ACCESS.2020.29894738(78252-78264)Online publication date: 2020
https://doi.org/10.1109/ACCESS.2020.2989473
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Index Terms

Personalized, interactive tag recommendation for flickr
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. HCI theory, concepts and models
    2. Interaction paradigms
      1. Natural language interfaces
  2. Interaction design
    1. Interaction design theory, concepts and paradigms
2. Information systems
  1. Information retrieval
    1. Document representation

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Information & Contributors

Information

Published In

RecSys '08: Proceedings of the 2008 ACM conference on Recommender systems

October 2008

348 pages

ISBN:9781605580937

DOI:10.1145/1454008

General Chair:
Pearl Pu
Ecole Polytechnique Fédérale de Lausanne (EPFL), Switzerland
,
Program Chairs:
Derek Bridge
University College Cork, Ireland
,
Bamshad Mobasher
DePaul University, USA
,
Francesco Ricci
Free University Bozen-Bolzano, Italy

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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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 23 October 2008

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RecSys08

Sponsor:

RecSys08: ACM Conference on Recommender Systems

October 23 - 25, 2008

Lausanne, Switzerland

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Overall Acceptance Rate 254 of 1,295 submissions, 20%

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Cited By

View all

Khalil MWang QChen BWang W(2023)Cross-modality representation learning from transformer for hashtag predictionJournal of Big Data10.1186/s40537-023-00824-210:1Online publication date: 28-Sep-2023
https://doi.org/10.1186/s40537-023-00824-2
Kutlimuratov AAbdusalomov AWhangbo T(2020)Evolving Hierarchical and Tag Information via the Deeply Enhanced Weighted Non-Negative Matrix Factorization of Rating PredictionsSymmetry10.3390/sym1211193012:11(1930)Online publication date: 23-Nov-2020
https://doi.org/10.3390/sym12111930
Yang CWang XJiang B(2020)Sentiment Enhanced Multi-Modal Hashtag Recommendation for Micro-VideosIEEE Access10.1109/ACCESS.2020.29894738(78252-78264)Online publication date: 2020
https://doi.org/10.1109/ACCESS.2020.2989473
Puspitaningrum DFernando JAfriando EUtama FRahmadini RPinata Y(2019)Finding Local Experts for Dynamic Recommendations Using Lazy Random Walk2019 7th International Conference on Cyber and IT Service Management (CITSM)10.1109/CITSM47753.2019.8965354(1-6)Online publication date: Nov-2019
https://doi.org/10.1109/CITSM47753.2019.8965354
Puspitaningrum D(2019)Social Influences in Recommendation Systems2019 7th International Conference on Cyber and IT Service Management (CITSM)10.1109/CITSM47753.2019.8965336(1-6)Online publication date: Nov-2019
https://doi.org/10.1109/CITSM47753.2019.8965336
Qassimi SAbdelwahed EHafidi MLamrani R(2019)The Role of Recommender System of Tags in Clinical Decision SupportAdvanced Intelligent Systems for Sustainable Development (AI2SD’2018)10.1007/978-3-030-11884-6_25(273-285)Online publication date: 6-Feb-2019
https://doi.org/10.1007/978-3-030-11884-6_25
Wang XLi ZTang J(2018)Visual understanding by mining social mediaFrontiers of Computer Science: Selected Publications from Chinese Universities10.1007/s11704-017-6377-112:3(406-422)Online publication date: 1-Jun-2018
https://dl.acm.org/doi/10.1007/s11704-017-6377-1
Bogers T(2018)Tag-Based RecommendationSocial Information Access10.1007/978-3-319-90092-6_12(441-479)Online publication date: 3-May-2018
https://doi.org/10.1007/978-3-319-90092-6_12
Zhang QWang JHuang HHuang XGong Y(2017)Hashtag recommendation for multimodal microblog using co-attention networkProceedings of the 26th International Joint Conference on Artificial Intelligence10.5555/3172077.3172367(3420-3426)Online publication date: 19-Aug-2017
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Haifeng GShoubao SZhoubao S(2017)Image tag recommendation based on friendshipsMultimedia Tools and Applications10.1007/s11042-016-3802-776:13(14581-14597)Online publication date: 1-Jul-2017
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