X-REC: cross-category entity recommendation

Abstract

We demonstrate X-Rec, a novel system for entity recommendation. In contrast to other systems, X-Rec can recommend entities from diverse categories including goods (e.g., books), other physical entities (e.g., actors), but also immaterial entities (e.g., ideologies). Further, it does so only based on publicly available data sources, including the revision history of Wikipedia, using an easily extensible approach for recommending entities. We describe X-Rec's architecture, showing how its components interact with each other. Moreover, we outline our demonstration, which foresees different modes for users to interact with the system.