Infusing Collaborative Recommenders with Distributed Representations
Greg Zanotti, Miller Horvath, Lucas Nunes Barbosa, Venkata Trinadh Kumar Gupta Immedisetty, Jonathan F. Gemmell · 2016
Recommender systems assist users in navigating complex information spaces and focus their attention on the content most relevant to their needs. Often these systems rely on user activity or descriptions of the content. Social annotation systems, in which users collaboratively assign tags to items, provide another means to capture information about users and items. Each of these data sources provides unique benefits, capturing different relationships.