{"type":"ScholarlyArticle","title":"Become Popular in SNS: Tag Recommendation using FolkPopularityRank to Enhance Social Popularity","authors":[{"name":"Toshihiko Yamasaki","slug":"toshihiko-yamasaki","given":"Toshihiko","family":"Yamasaki","affiliation":"Department of Information and Communication Engineering , The University of Tokyo"},{"name":"Yiwei Zhang","slug":"yiwei-zhang","given":"Yiwei","family":"Zhang","affiliation":"Department of Information and Communication Engineering , The University of Tokyo"},{"name":"Jiani Hu","slug":"jiani-hu","given":"Jiani","family":"Hu","affiliation":"Department of Information and Communication Engineering , The University of Tokyo"},{"name":"Shumpei Sano","slug":"shumpei-sano","given":"Shumpei","family":"Sano","affiliation":"Department of Information and Communication Engineering , The University of Tokyo"},{"name":"Kiyoharu Aizawa","slug":"kiyoharu-aizawa","given":"Kiyoharu","family":"Aizawa","affiliation":"Department of Information and Communication Engineering , The University of Tokyo"}],"abstract":"In this demo, we address two emerging yet challenging problems in social media: (1) scoring the text tags in terms of the influence to the numbers of views, comments, and favorite ratings of images and videos on content sharing services, and (2) recommending additional tags to increase such popularity-related numbers.\r\nFor these purposes, we present a demo using our FolkPopularityRank (FP-Rank) algorithm, which can score and recommend text tags based on their ability to influence the popularity-related numbers. \r\nOur experiments using 1,000 photos showed that we can achieve 1.6 times more views than the original tag sets in Flickr just by adding tags recommended by FP-Rank.","doi":"10.24963/ijcai.2017/781","url":"https://ijcai.org/proceedings/2017/781","pdf":"https://ijcai.org/proceedings/2017/0781.pdf","markdown":"https://ijcai.org/proceedings/2017/781.md","bibtex":"https://ijcai.org/proceedings/2017/bibtex/781","volume":{"slug":"2017","title":"Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence","short_title":"IJCAI 2017","url":"https://ijcai.org/proceedings/2017/","year":2017,"location":"Melbourne, Australia","dates":"19-25 August 2017","editors":"Carles Sierra","isbn":"978-0-9992411-0-3","publisher":"International Joint Conferences on Artificial Intelligence Organization","doi_prefix":"10.24963/ijcai.2017"},"section":"Demos","track":"Demos","number":781,"pages":{"first":5252,"last":5253},"keywords":["Machine Learning: Data Mining"],"videos":[],"references":[{"position":1,"raw":"[Brin and Page, 1998] Sergey Brin and Lawrence Page. The anatomy of a large-scale hypertextual web search en- gine. Computer Networks and ISDN Systems, 30:107-117, 1998.","title":"The anatomy of a large-scale hypertextual web search engine","authors":"Page Brin","year":"1998","venue":"Computer Networks and ISDN Systems","doi":null,"url":null,"internal_url":null},{"position":2,"raw":"[Hotho et al., 2006] Andreas Hotho, Robert Jaschke, Christoph Schmitz, and Gerd Stumme. Folkrank: A ranking algorithm for folksonomies. In LWA, volume 1, pages 111-114, 2006.","title":"Folkrank: A ranking algorithm for folksonomies","authors":"Andreas Hotho, Robert Jaschke, Christoph Schmitz, Gerd Stumme","year":"2006","venue":"LWA","doi":null,"url":null,"internal_url":null},{"position":3,"raw":"[Yamasaki et al., 2014] Toshihiko Yamasaki, Shumpei Sano, and Kiyoharu Aizawa. Social popularity score: Predicting numbers of views, comments, and favorites of social pho- tos using only annotations. In WISMM, pages 3-8, 2014.","title":"Social popularity score: Predicting numbers of views, comments, and favorites of social photos using only annotations","authors":"Toshihiko Yamasaki, Shumpei Sano, Kiyoharu Aizawa","year":"2014","venue":"WISMM","doi":null,"url":null,"internal_url":null},{"position":4,"raw":"[Yamasaki et al., 2017] Toshihiko Yamasaki, Jiani Hu, Shumpei Sano, and Kiyoharu Aizawa. Folkpopular- ityrank: Tag recommendation for enhancing social popularity using text tags in content sharing services. In IJCAI, 2017.","title":"Folkpopularityrank: Tag recommendation for enhancing social popularity using text tags in content sharing services","authors":"Toshihiko Yamasaki, Jiani Hu, Shumpei Sano, Kiyoharu Aizawa","year":"2017","venue":"IJCAI","doi":null,"url":null,"internal_url":"/proceedings/2017/451"}],"license_note":"Copyright International Joint Conferences on Artificial Intelligence."}