Saaya, ZurinaZurinaSaayaSchaal, MarkusMarkusSchaalRafter, RachaelRachaelRafterSmyth, BarryBarrySmyth2019-07-112019-07-112013 Sprin2013-06-14978-3-642-38843-9http://hdl.handle.net/10197/10881UMAP 2013: The 21st Conference on User Modeling, Adaptation and Personalization, Rome, Italy, 10-14 June 2013A new generation of curation services provides users with a set of tools to manually curate and manage topical collections of content. However, given curation is ultimately a manual effort, it still requires significant effort on the part of the curator both in terms of collecting and managing content. We are interested in providing additional assistance to users in their curation tasks, in particular when it comes to efficiently adding content to their collection, and examine recommender systems in an effort to automate this task. We examine a number of recommendation strategies using live-user data from the popular Scoop.it curation service.enThe final publication is available at www.springerlink.com.CurationRecommendation systemMachine learningConference Publication24225310.1007/978-3-642-38844-6_202018-04-05https://creativecommons.org/licenses/by-nc-nd/3.0/ie/