Kilian Q. Weinberger

Associate Professor of Computer Science

Machine Learning for Social Media




How can we use machine learning for within social media? Examples are automated image annotations, ranking of images or music playlist recommendations. Social media data is particularly interesting in machine learning, because it usually appears in a multitude of representations. For examples images on Flickr are accompanied by a social network, tags, text, endorsements and comments.

Relevant Publications:

[PDF][BIBTEX] E. Hörster, M. Slaney, M. Ranzato, K. Q. Weinberger (2009). Unsupervised Image Ranking. ACM Workshop on Web-Scale Multimedia Corpus (WSMC 2009), Beijing, China, October 2009

[PDF][BIBTEX] L. Kennedy, M. Slaney, K. Q. Weinberger (2009). Reliable Tags Using Image Similarity: Mining Specificity and Expertise from Large-Scale Multimedia Databases. ACM Workshop on Web-Scale Multimedia Corpus (WSMC 2009), Beijing, China, October 2009

[PDF][BIBTEX] K. Q. Weinberger, M. Slaney, and R. v. Zwol (2008), Resolving Tag Ambiguity. Proceeding of the 16th ACM international conference on Multimedia, ACM, 2008, 111-120

[PDF][BIBTEX] Malcolm Slaney, K. Q. Weinberger, William White, Learning a Metric for Music Similarity. International Symposium on Music Information Retrieval (ISMIR), September 2008.