Saaya, ZurinaZurinaSaayaRafter, RachaelRachaelRafterSchaal, MarkusMarkusSchaalSmyth, BarryBarrySmyth2017-11-012017-11-012013 ACM2013-10-16http://hdl.handle.net/10197/9025RecSys’13, Hong Kong, ChinaIn this paper we consider the application of content-based recommendation techniques to web curation services which allow users to curate and share topical collections of content (e.g. images, news, web pages etc.). Curation services like Pinterest are now a mainstay of the modern web and present a range of interesting recommendation challenges. In this paper we consider the task of recommending collections to users and evaluate a range of different content-based techniques across a variety of content signals. We present the results of a large-scale evaluation using data from the Scoop.it web page curation serviceen© ACM, 2013. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in Proceedings of the 7th ACM conference on Recommender systems https://doi.org/10.1145/2507157.2507216Recommender SystemsConference Publication10.1145/2507157.25072162015-06-15https://creativecommons.org/licenses/by-nc-nd/3.0/ie/