Recommending Topics for Web Curation

Saaya, Zurina and Schaal, Markus and Rafter, Rachael and Smyth, Barry (2013) Recommending Topics for Web Curation. In: User Modeling, Adaptation, and Personalization, 10-14 june 2014, Rome, Italy.

[img] Other (Link to Springer)
978-3-642-38844-6_20 - Published Version

Download (54kB)


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 curation service.

Item Type: Conference or Workshop Item (Paper)
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Q Science > QA Mathematics > QA76 Computer software
Divisions: Faculty of Information and Communication Technology > Department of System and Computer Communication
Depositing User: Zurina Saaya
Date Deposited: 19 Feb 2014 08:37
Last Modified: 28 May 2015 04:17
Statistic Details: View Download Statistic

Actions (login required)

View Item View Item