skip to main content
10.1145/2034691.2034734acmconferencesArticle/Chapter ViewAbstractPublication PagesdocengConference Proceedingsconference-collections
research-article

Local metric learning for tag recommendation in social networks

Published: 19 September 2011 Publication History

Abstract

We address the problem of tag recommendation for media objects, like images, videos, etc in social media sharing systems. We propose a framework that 1) extracts both object features and the social context and 2) uses them to learn recommendation rules. The social context is described by different types of information, such as a user's personal objects, the objects of a user's social contacts, the importance of the user in the social network, etc. Both object features and the social context are first used to guide the k-nearest neighbour method for the tag recommendation. We then enhance the method by the local topology adjustment on how the nearest neighbours are selected. We learn a local transformation of the feature space surrounding a given object which pushes together objects with the same tags and puts apart objects with different tags. We show how to learn the Mahalanobis distance metric on multi-tag objects and adopt it to the tag recommendation problem.

References

[1]
T. Bogers. Movie recommendation using random walks over the contextual graph. In Proc. 2nd Workshop on Context-Aware Recommender Systems (CARS), 2010.
[2]
CVX. Matlab software for disciplined convex programming. In http://cvxr.com/cvx/download.
[3]
N. Garg and I. Weber. Personalized, interactive tag recommendation for flickr. In Proc. ACM RecSys'08, pages 67--74, 2008.
[4]
M. Gupta, R. Li, Zh.Yin, and J. Han. Survey on social tagging techniques. ACM SIGKDD Explorations Newsletter, 12:58--72, November 2010.
[5]
M. Hovelynck and B. Chidlovskii. Multi-modality in one-class classification. In WWW '10, pages 441--450, 2010.
[6]
P. Jain, B. Kulis, J. V. Davis, and I. S. Dhillon. Metric and kernel learning using a linear transformation. In arXiv:0910.5932v1, 2009.
[7]
K. Q. Weinberger and L. K. Saul. Distance metric learning for large margin nearest neighbor classification. In Proc. NIPS, 2005.
[8]
F. Perronnin and Ch. R. Dance. Fisher kernels on visual vocabularies for image categorization. In Proc. CVPR, 2007.
[9]
S. Peters, L. Denoyer, and P. Gallinari. Iterative annotation of multi-relational social networks. In Proc. ASONAM, pages 96--103, 2010.
[10]
A. Rae, B. Sigurbjörnsson, and R. van Zwol. Improving tag recommendation using social networks. In Proc. RIAO'10, pages 92--99, Paris, France, 2010.
[11]
B. Sigurbjörnsson and R. van Zwol. Flickr tag recommendation based on collective knowledge. In Proc. WWW '08, pages 327--336, 2008.

Cited By

View all
  • (2022)A survey on social image semantic analysisChinese Science Bulletin10.1360/TB-2022-093868:25(3368-3384)Online publication date: 11-Nov-2022
  • (2012)Advanced TechniquesRecommender Systems for Social Tagging Systems10.1007/978-1-4614-1894-8_4(43-74)Online publication date: 24-Jan-2012

Recommendations

Comments

Information & Contributors

Information

Published In

cover image ACM Conferences
DocEng '11: Proceedings of the 11th ACM symposium on Document engineering
September 2011
296 pages
ISBN:9781450308632
DOI:10.1145/2034691
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]

Sponsors

In-Cooperation

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 19 September 2011

Permissions

Request permissions for this article.

Check for updates

Author Tags

  1. metric learning
  2. social tagging
  3. tag recommendation

Qualifiers

  • Research-article

Conference

DocEng '11
Sponsor:
DocEng '11: ACM Symposium on Document Engineering
September 19 - 22, 2011
California, Mountain View, USA

Acceptance Rates

Overall Acceptance Rate 194 of 564 submissions, 34%

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • Downloads (Last 12 months)0
  • Downloads (Last 6 weeks)0
Reflects downloads up to 18 Jan 2025

Other Metrics

Citations

Cited By

View all
  • (2022)A survey on social image semantic analysisChinese Science Bulletin10.1360/TB-2022-093868:25(3368-3384)Online publication date: 11-Nov-2022
  • (2012)Advanced TechniquesRecommender Systems for Social Tagging Systems10.1007/978-1-4614-1894-8_4(43-74)Online publication date: 24-Jan-2012

View Options

Login options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Media

Figures

Other

Tables

Share

Share

Share this Publication link

Share on social media