CARS and Beacons:  Context-aware Recommender Systems using Indoor Localization
Channel: GRASIA
Date: 30/06/2016

Context-Aware Recommender Systems (CARS) use context (e.g. location of the users, weather, time, mood, etc.) to recommend items or activities a user is potentially interested in. The Talk presents an innovative architecture for push-based CARS that integrates different description and reasoning approaches. Complex Event Processing (CEP) is applied on live-data to provide situation awareness. Ontologies and semantic rules are used to define domain expertise that allow individualized and domain-specific recommendations. Furthermore, different approaches for indoor location of particular users are discussed including the recently introduced Beacon technology. 

Bio:
Jürgen Dunkel is a professor of computer science at the Hochschule Hannover (University of Applied Sciences and Arts). He received a Diploma degree in computer science from University of Hagen and a Doctoral degree from University of Dortmund (Germany). His research interests include software architecture, data stream processing, and intelligent systems.