creators_name: San Pedro, Jose creators_name: Siersdorfer, Stefan type: conference_item datestamp: 2009-04-06 19:10:52 lastmod: 2009-04-28 08:59:59 metadata_visibility: show title: Ranking and Classifying Attractiveness of Photos in Folksonomies ispublished: pub full_text_status: public pres_type: paper abstract: Web 2.0 applications like Flickr, YouTube, or Del.icio.us are increasingly popular online communities for creating, editing and sharing content. The growing size of these folksonomies poses new challenges in terms of search and data mining. In this paper we introduce a novel methodology for automatically ranking and classifying photos according to their attractiveness for folksonomy members. To this end, we exploit image features known for having significant effects on the visual quality perceived by humans (e.g. sharpness and colorfulness) as well as textual meta data, in what is a multi-modal approach. Using feedback and annotations available in the Web 2.0 photo sharing system Flickr, we assign relevance values to the photos and train classification and regression models based on these relevance assignments. With the resulting machine learning models we categorize and rank photos according to their attractiveness. Applications include enhanced ranking functions for search and recommender methods for attractive content. Large scale experiments on a collection of Flickr photos demonstrate the viability of our approach. date: 2009-04 pagerange: 771-771 event_title: 18th International World Wide Web Conference event_location: Madrid, Spain event_dates: April 20th-24th, 2009 event_type: conference refereed: TRUE citation: San Pedro, Jose and Siersdorfer, Stefan (2009) Ranking and Classifying Attractiveness of Photos in Folksonomies. In: 18th International World Wide Web Conference, April 20th-24th, 2009, Madrid, Spain. document_url: http://www2009.eprints.org/78/1/p771.pdf document_url: http://www2009.eprints.org/78/2/jsanpedro-www09.pdf