creators_name: Liu, Dong creators_name: Hua, Xian-Sheng creators_name: Yang, Linjun creators_name: Wang, Meng creators_name: Zhang, Hong-Jiang type: conference_item datestamp: 2009-04-06 19:09:21 lastmod: 2009-04-14 04:37:06 metadata_visibility: show title: Tag Ranking ispublished: pub full_text_status: public pres_type: paper abstract: Social media sharing web sites like Flickr allow users to annotate images with free tags, which significantly facilitate Web image search and organization. However, the tags associated with an image generally are in a random order without any importance or relevance information, which limits the effectiveness of these tags in search and other applications. In this paper, we propose a tag ranking scheme, aiming to automatically rank the tags associated with a given image according to their relevance to the image content. We first estimate initial relevance scores for the tags based on probability density estimation, and then perform a random walk over a tag similarity graph to refine the relevance scores. Experimental results on a 50, 000 Flickr photo collection show that the proposed tag ranking method is both effective and efficient. We also apply tag ranking into three applications: (1) tag-based image search, (2) tag recommendation, and (3) group recommendation, which demonstrates that the proposed tag ranking approach really boosts the performances of social-tagging related applications. date: 2009-04 pagerange: 351-351 event_title: 18th International World Wide Web Conference event_location: Madrid, Spain event_dates: April 20th-24th, 2009 event_type: conference refereed: TRUE citation: Liu, Dong and Hua, Xian-Sheng and Yang, Linjun and Wang, Meng and Zhang, Hong-Jiang (2009) Tag Ranking. In: 18th International World Wide Web Conference, April 20th-24th, 2009, Madrid, Spain. document_url: http://www2009.eprints.org/36/1/p351.pdf