{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,29]],"date-time":"2025-09-29T08:14:45Z","timestamp":1759133685763},"publisher-location":"California","reference-count":0,"publisher":"International Joint Conferences on Artificial Intelligence Organization","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017,8]]},"abstract":"<jats:p>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.\n\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. \n\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.<\/jats:p>","DOI":"10.24963\/ijcai.2017\/781","type":"proceedings-article","created":{"date-parts":[[2017,7,28]],"date-time":"2017-07-28T05:14:07Z","timestamp":1501218847000},"page":"5252-5253","source":"Crossref","is-referenced-by-count":2,"title":["Become Popular in SNS: Tag Recommendation using FolkPopularityRank to Enhance Social Popularity"],"prefix":"10.24963","author":[{"given":"Toshihiko","family":"Yamasaki","sequence":"first","affiliation":[{"name":"The University of Tokyo"}]},{"given":"Yiwei","family":"Zhang","sequence":"additional","affiliation":[{"name":"The University of Tokyo"}]},{"given":"Jiani","family":"Hu","sequence":"additional","affiliation":[{"name":"The University of Tokyo"}]},{"given":"Shumpei","family":"Sano","sequence":"additional","affiliation":[{"name":"The University of Tokyo"}]},{"given":"Kiyoharu","family":"Aizawa","sequence":"additional","affiliation":[{"name":"The University of Tokyo"}]}],"member":"10584","event":{"number":"26","sponsor":["International Joint Conferences on Artificial Intelligence Organization (IJCAI)","University of Technology Sydney (UTS)","Australian Computer Society (ACS)"],"acronym":"IJCAI-2017","name":"Twenty-Sixth International Joint Conference on Artificial Intelligence","start":{"date-parts":[[2017,8,19]]},"theme":"Artificial Intelligence","location":"Melbourne, Australia","end":{"date-parts":[[2017,8,26]]}},"container-title":["Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence"],"original-title":[],"deposited":{"date-parts":[[2017,7,28]],"date-time":"2017-07-28T07:55:34Z","timestamp":1501228534000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.ijcai.org\/proceedings\/2017\/781"}},"subtitle":[],"proceedings-subject":"Artificial Intelligence Research Articles","short-title":[],"issued":{"date-parts":[[2017,8]]},"references-count":0,"URL":"https:\/\/doi.org\/10.24963\/ijcai.2017\/781","relation":{},"subject":[],"published":{"date-parts":[[2017,8]]}}}