Recommending topics for web curation
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|Title:||Recommending topics for web curation||Authors:||Saaya, Zurina; Schaal, Markus; Rafter, Rachael; Smyth, Barry||Permanent link:||http://hdl.handle.net/10197/10881||Date:||1356998||Online since:||2019-07-11T08:39:58Z||Abstract:||A 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.||Funding Details:||Science Foundation Ireland||Type of material:||Conference Publication||Publisher:||Springer||Start page:||242||End page:||253||Series/Report no.:||Lecture Notes in Computer Science; Volume 7899||Copyright (published version):||2013 Springer-Verlag Berlin Heidelberg||Keywords:||Curation; Recommendation system; Machine learning||DOI:||10.1007/978-3-642-38844-6_20||Other versions:||https://www.um.org/announcements/umap-announcements/16-umap-2013||Language:||en||Status of Item:||Peer reviewed||Is part of:||Micarelli, A., Semeraro, G. (eds.). User Modeling, Adaptation, and Personalization. 21th International Conference, UMAP 2013, Rome, Italy, June 10-14, 2013 Proceedings||Conference Details:||UMAP 2013: The 21st Conference on User Modeling, Adaptation and Personalization, Rome, Italy, 10-14 June 2013||ISBN:||978-3-642-38843-9|
|Appears in Collections:||Computer Science Research Collection|
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