You are here

The Curated Web: A Recommendation Challenge

Authors: 

Zurina Saaya, Rachael Rafter, Markus Schaal, Barry Smyth

Publication Type: 
Refereed Conference Meeting Proceeding
Abstract: 
In 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 con- tent (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 collec- tions to users and evaluate a range of di erent content-based techniques across a variety of content signals. We present the results of a large-scale evaluation using data from the Scoop.it 1 web page curation service
Conference Name: 
RecSys’13
Digital Object Identifer (DOI): 
0.1145/2507157.2507216
Publication Date: 
12/10/2013
Conference Location: 
China
Research Group: 
Institution: 
National University of Ireland, Dublin (UCD)
Open access repository: 
No