Contact Person
Christopher Krauß
M.Sc. Christopher Krauß
Senior Project Manager
Business Unit FAME
Tel.: +49 30 3463-7236

Christopher Krauß

Scientist and project manager R & D at the Business Unit FAME

Working Areas

  • Predictive Data Mining: Personalization, Recommendation Systems and Pattern Recognition
  • Context-aware Data Extraction: Sentiment and Semantic Text Analytics as well as Social Network Analysis.
  • Future Web Applications on Cross-Platform Devices
  • Development of innovative and interactive SmartTV Applications
  • Participation in Standardization Bodies: e.g. W3C, HbbTV and OIPF

Christopher Krauß studied Media Informatics (Medieninformatik) at the University of Applied Sciences (Beuth Hochschule für Technik Berlin). He received his Master's degree (very good with distinction) with the completion of his thesis “Personalized Recommendations to be displayed on SmartTVs" at Fraunhofer Institute for Open Communication Systems (FOKUS) in 2012. Christopher Krauß has been involved in multiple public founded national and international projects (e.g. FI-Content 1&2, User Centric Networking and Global ITV) and managed many industry projects for different customers (MediaBroadcast, ImmobilienScout24, Bertelsmann Arvato, Axel Springer, Rovi, Telekom and many more). Currently, he is employed as a Project Manager at the Business Unit Future Applications and Media (FAME) and specializes in the R&D of topics dealing with Personalization and Connected TVs.

Publications

Zwicklbauer, Miggi; Krauss, Christopher; An, Truong-Sinh; Merceron, Agathe; Kania, Jost-Peter; Scharp, Michael:
Mobiles Lernen in der beruflichen Bildung mit dem digitalen Lernbegleiter : Learntec 2016, 26.01.2016, Karlsruhe, Germany.
2016

Krauss, Christopher; Merceron, Agathe; An, Truong-Sinh; Zwicklbauer, Miggi; Arbanowski, Stefan:
The smart learning approach : a mobile learning companion application.
In: White, Stephen (Ed.) u.a.:
ElmL : the Eighth International Conference on Mobile, Hybrid, and On-line Learning : April 24-28, 2016 ; Venice, Italy.
IARIA, 2016, 13-16

Krauss, Christopher:
Smart learning: time-dependent context-aware learning object recommendations.
In: Markov, Zdravko (Ed.) u.a.; Florida Artificial Intelligence Research Society:
Proceedings of the Twenty-Ninth International Florida Artificial Intelligence Research Society Conference, FLAIRS 2016, Key Largo, Florida, May 16-18, 2016.
Menlo Park, Calif. : AAAI Press [u.a.], 2016, 501-504

Bayat, Berken; Krauss, Christopher; Merceron, Agathe; Arbanowski, Stefan:
Supervised speech act classification of messages in german online discussions.
In: Markov, Zdravko (Ed.) u.a.; Florida Artificial Intelligence Research Society:
Proceedings of the Twenty-Ninth International Florida Artificial Intelligence Research Society Conference, FLAIRS 2016, Key Largo, Florida, May 16-18, 2016.
Menlo Park, Calif. : AAAI Press [u.a.], 2016, 204-209

Merceron, Agathe; Kania, Jost; Krauss, Christopher; Scharp, Michael; Zwicklbauer, Miggi:
"Smart Learning" für die handwerkliche Weiterbildung.
In: Beuth Hochschule für Technik Berlin:
Research Day 2015, Beuth Hochschule für Technik Berlin, Tagungsband, 21.04. 2015.
Berlin : Mensch und Buch Verl., 2015, 110-114

Braun, Sascha; Hauswirth, Manfred (1. Examiner); Magedanz, Thomas (2. Examiner); Krauss, Christopher (Supervisor):
Event based recommendation systems in Smart Environments.
2015
Berlin, Techn. Univ., Master-Arb., 2015

Krauss, Christopher:
Finding what you are looking for - Recommendation Engines für eine bessere Distribution.
2015

Häuser, Sarah; Krauß, Christopher (Examiner); Schmiedecke, Ilse (Examiner); Merceron, Agathe (Examiner):
Gamification for leveraging recommendation engines: competition and play instinct against data sparsity.
2015
Berlin, Beuth Hochschule für Technik Berlin, Master's Thesis, 2015

Krauss, Christopher; Arbanowski, Stefan:
HbbTV - deep dive and hands-on : Tutorial at the 5th Media Web Symposium, 20./21. Mai 2015, Berlin.
2015

Krauss, Christopher:
How HbbTV leverages SmartTVs in Europe : The First International Workshop for Strengthening China Collaboration on ICT research with Europe (CHOICE) in Immersive and Interactive Media. CHOICE, 31th March, 2015, Beijing, China.
2015

Krauss, Christopher:
Personalized Services through Data Mining and Recommendation Engines : Guest lecture in Current Topics in Media Informatics at Beuth University of Applied Sciences Berlin, 22th April, 2015.
2015

Zwicklbauer, Miggi; Krauss, Christopher; Merceron, Agathe; Kania, Jost-Peter; Scharp, Michael:
Smart Learning: Der digitale Lernbegleiter für die berufliche Bildung.
In: Pongratz, Hans (Hrsg.) u.a.; Gesellschaft für Informatik / Fachgruppe E-Learning:
DeLFI 2015 - die 13. E-Learning Fachtagung Informatik der Fachgruppe E-Learning der Gesellschaft für Informatik e.V. : 1.-4. September 2015 München, Deutschland.
Bonn : Ges. für Informatik, 2015, 227-232
(GI-edition - lecture notes in informatics - proceedings 247).

Bayat, Berken; Hauswirth, Manfred (1. Examiner); Magedanz, Thomas (2. Examiner); Krauss, Christopher (Supervisor):
Supervised speech act classification of messages in german online discussions.
2015
Berlin, Techn. Univ., Bachelor-Arb., 2015

Seeliger, Robert; Krauss, Christopher; Wilson, Annette; Zwicklbauer, Miggi; Arbanowski, Stefan:
Towards personalized smart city guide services in future internet environments.
In: Proceedings of the 24th International Conference on World Wide Web Companion : WWW '15 Companion.
Geneva : IW3C2 International World Wide Web Conference Committee, 2015, 563-568

Krauss, Christopher; Chandru, Rakesh; Arbanowski, Stefan:
Towards time-dependent context-sensitive user data for recommending learning objects : 9th International Conference on Web Reasoning and Rule Systems (RR2015), 4.-5. August 2015, Berlin.
2015

Liwotto, Marius; Hauswirth, Manfred (1. Examiner); Magedanz, Thomas (2. Examiner); Krauss, Christopher (Supervisor):
Trend detection in social networks through topic and sentiment analysis.
2015
Berlin, Techn. Univ., Bachelor-Arb., 2015

Krauss, Christopher; Bassbouss, Louay; Pham, Stefan; Kaiser, Stefan; Arbanowski, Stefan; Steglich, Stephan:
Challenges for enabling targeted multi-screen advertisement for interactive TV services.
In: World Wide Web Consortium:
The fourth W3C web and TV workshop : Web & TV Convergence.
2014, 5 S.

An, Truong-Sinh; Popescu-Zeletin, Radu (Examiner); Krauß, Christopher (day-to-day-supervisor):
Development of a recommendation as a service platform using NoSQL database technology.
2014
Berlin, Techn. Univ., Dipl.-Arb., 2014

Quell, Lars; Popescu-Zeletin, Radu (Examiner); Krauss, Christopher (Day-to-day supervisor):
Digital Video Advertising Displayed on Smart TVs as a Revenue Model.
2014
Berlin, Techn. Univ., Studienarbeit, 2014

Krauss, Christopher; Seeliger, Robert; Wilson, Annette; Arbanowski, Stefan:
Enriched personalized multi-screen content for social connected TV.
In: Association for Computing Machinery:
ACM TVX2014 : proceedings of the first international conference on interactive experiences for television and online video (TVX2014).
2014, 4 S.

Krauss, Christopher:
Insights into the development of cutting-edge HbbTV Apps - 10 golden rules for TV App development : TV Ring Workshop at 4th Media Web Symposium, 08-09 May 2014, Berlin.
2014

Krauss, Christopher; Arbanowski, Stefan:
Multiscreen Development - Video delivery : Guest lecture in Current Topics in Media Informatics at Beuth University of Applied Sciences Berlin, 2013.
2014

Krauss, Christopher:
Neuartige Möglichkeiten von Werbeschaltungen im digitalen Medienumfeld auf First- und Second Screens : Invited Talk at the Plenary Meeting of the Verband Privater Rundfunk und Telemedien e.V. (VPRT), 27th November 2014, Berlin.
2014

Krauss, Christopher; Seeliger, Robert:
No Content without Context - Multimedia Recommendation Engines : Fullday Workshop at LINKED FILM & TV WORKSHOPS, 1, 5th November 2014, Potsdam.
2014

Krauss, Christopher:
Predictive Data Mining and Recommendation Engines : Guest lecture in Current Topics in Media Informatics.
2014

Krauss, Christopher; Braun, Sascha; Arbanowski, Stefan:
Preference ontologies based on Social Media for compensating the Cold Start Problem.
In: Proceedings of the 8th International Workshop on Social Network Mining and Analysisfor Business, Consumer and Social Insighths (SNAKDD) : August 24, 2014, New York.
New York, NY : ACM, 2014, 4

Krauss, Christopher; Arbanowski, Stefan:
Social preference ontologies for enriching user and item data in recommendation systems.
In: Zhou, Zhi-Hua (Ed.) u.a.; IEEE:
Proceedings of the fourteenth IEEE international conference on data mining workshops : 14 December 2014, Shenzhen, China.
Piscataway, NJ [u.a.] : IEEE, 2014, 365-372

Kops, Lars; Krauss, Christopher (day-to-day-supervisor):
Improving travel recommenders by benefit segmentation: The case of George.
2013
Berlin, Techn. Univ. Berlin und University Twente, Dual Master's Thesis, 2013

George, Lars; Pham, Stefan; Kaiser, Stefan; Krauss, Christopher; Arbanowski, Stefan:
Internet-delivered television using MPEG-DASH : opportunities and challenges.
In: National Association of Broadcasters (NAB), Las Vegas:
Proceedings of 67th broadcast engineering conference (BEC) : April 6-11 2013, Las Vegas, Nevada, USA.
Washington, DC : NAB Techn. Dep., 2013, 341-347

Krauß, C.:
Recommendations as a service platform - intuitiver grafischer Editor zur Erstellung von Empfehlungs-Engines : IFA 2013, Tec Watch Forum, 10. September 2013, Berlin.
2013

Krauss, Christopher; George, Lars; Arbanowski, Stefan:
TV Predictor : personalized program recommendations to be displayed on SmartTVs.
In: Proceedings of the 2nd international workshop on big data, streams and heterogeneous source mining : algorithms, systems, programming models and applications (BigMine '13).
New York, NY : ACM, 2013, 63-70

Krauss, C.; George, L.; Arbanowski, S.:
TV Predictor: personalized program recommendations to be displayed on SmartTVs : International Workshop on Big Data, Streams and Heterogeneous Source Mining, 11. August 2013, Chicago.
2013

Krauss, C.:
OIPF - The importance of standards for Connected TVs : TV App Hub, IPTV World Forum, 20. -22. März 2012, London.
2012

Krauß, C.; Merceron, A. (First examiner); Seeliger, R. (Second examiner); Mixdorff, H. (Supervisor):
Personalized recommendations to be displayed on SmartTVs.
2012
Berlin, Beuth Hochschule, Master-Arb., 2012

Krauß, C.; Mattheß, M.; Bayarou, K.M.; Eckert, C.; Prasad, A.R.; Schoo, P.:
Identification of security requirements in WLAN-WLAN: Inter-domain handover based on threat and risk analysis.
In: WPMC '05, International Symposium on Wireless Personal Multimedia Communications [and] International Wireless Summit 2005.
Aalborg, 2005, S. 1678-1682
(WPMC '05, International Symposium on Wireless Personal Multimedia Communications [and] International Wireless Summit 2005 3).