Title: Klout Topics for Modeling Interests and Expertise of Users Across Social Networks,
Abstract: This paper presents Klout Topics, a lightweight ontology to describe social
media users' topics of interest and expertise. Klout Topics is designed to: be
human-readable and consumer-friendly; cover multiple domains of knowledge in
depth; and promote data extensibility via knowledge base entities. We discuss
why this ontology is well-suited for text labeling and interest modeling
applications, and how it compares to available alternatives. We show its
coverage against common social media interest sets, and examples of how it is
used to model the interests of over 780M social media users on Klout.com.
Finally, we open the ontology for external use.