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Syst."],"published-print":{"date-parts":[[2014,1]]},"abstract":"<jats:p>In this article, a novel method for personalized item recommendation based on social tagging is presented. The proposed approach comprises a content-based tag propagation method to address the sparsity and \u201ccold start\u201d problems, which often occur in social tagging systems and decrease the quality of recommendations. The proposed method exploits (a) the content of items and (b) users' tag assignments through a relevance feedback mechanism in order to automatically identify the optimal number of content-based and conceptually similar items. The relevance degrees between users, tags, and conceptually similar items are calculated in order to ensure accurate tag propagation and consequently to address the issue of \u201clearning tag relevance.\u201d Moreover, the ternary relation among users, tags, and items is preserved by performing tag propagation in the form of triplets based on users' personal preferences and \u201ccold start\u201d degree. The latent associations among users, tags, and items are revealed based on a tensor factorization model in order to build personalized item recommendations. In our experiments with real-world social data, we show the superiority of the proposed approach over other state-of-the-art methods, since several problems in social tagging systems are successfully tackled. Finally, we present the recommendation methodology in the multimodal engine of I-SEARCH, where users' interaction capabilities are demonstrated.<\/jats:p>","DOI":"10.1145\/2487164","type":"journal-article","created":{"date-parts":[[2014,1,21]],"date-time":"2014-01-21T13:31:00Z","timestamp":1390311060000},"page":"1-27","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":16,"title":["Content-based tag propagation and tensor factorization for personalized item recommendation based on social tagging"],"prefix":"10.1145","volume":"3","author":[{"given":"Dimitrios","family":"Rafailidis","sequence":"first","affiliation":[{"name":"Information Technologies Institute, Thessaloniki, Greece"}]},{"given":"Apostolos","family":"Axenopoulos","sequence":"additional","affiliation":[{"name":"Information Technologies Institute, Thessaloniki, Greece"}]},{"given":"Jonas","family":"Etzold","sequence":"additional","affiliation":[{"name":"Fulda University of Applied Sciences, Fulda, Germany"}]},{"given":"Stavroula","family":"Manolopoulou","sequence":"additional","affiliation":[{"name":"Information Technologies Institute, Thessaloniki, Greece"}]},{"given":"Petros","family":"Daras","sequence":"additional","affiliation":[{"name":"Information Technologies Institute, Thessaloniki, Greece"}]}],"member":"320","published-online":{"date-parts":[[2014,1]]},"reference":[{"key":"e_1_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/1055709.1055714"},{"key":"e_1_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1162\/089976603321780317"},{"key":"e_1_2_1_3_1","first-page":"4","article-title":"Network properties of folksonomies","volume":"20","author":"Cattuto C.","year":"2007","unstructured":"C. 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