SEM Account Aggregation - ein Verfahren zur Optimierung der Suchmaschinenwerbung in KMU

Projekt: Transfer (FuE-Projekt)

Projektbeteiligte

Beschreibung

Im Forschungsprojekt „Search Engine Marketing Account Aggregation“ – kurz SEM-A² – untersucht das Team um Prof. Dr. Burkhardt Funk Suchmaschinenwerbung für Unternehmen. Dabei zielen die Forscher besonders darauf ab, wissenschaftlich relevante und praktisch umsetzbare Lösungsbeiträge für kleine und mittlere Unternehmen in der Region zu entwickeln.
AkronymTM 1.3 C FuE-Projekt 07 - SEM-A2
StatusAbgeschlossen
Zeitraum01.10.1131.10.15

Verknüpfte Publikationen

Zuletzt angesehen

Projekte

  1. Campus Virtuell

Presse / Medien

  1. Rezension zu "Papierboot"

Publikationen

  1. A highly transparent method of assessing the contribution of incentives to meet various technical challenges in distributed energy systems
  2. Advanced extrusion processes
  3. Geometric control tools for robotic manipulators
  4. Sustainability and management control. Exploring and theorizing control patterns in large European firms
  5. Application of Friction Riveting technique for the assembly of electronic components on printed circuit boards (PCB)
  6. “Making Sense”
  7. A Genetic Algorithm for the Dynamic Management of Cellular Reconfigurable Manufacturing Systems
  8. Evaluating the (cost-)effectiveness of guided and unguided Internet-based self-help for problematic alcohol use in employees
  9. Do Specific Text Features Influence Click Probabilities in Paid Search Advertising?
  10. Lernwerkstatt
  11. Like! You saved #energy today. Fostering Energy Efficiency in Buildings – The implementation of social media patterns as symbols in Building Management Systems‘ Graphical User Interfaces using Peirce’s semeiosis as a communication concept
  12. Sustainability-oriented technology exploration: managerial values, ambidextrous design, and separation drift
  13. Degradation of 5-FU by means of advanced (photo)oxidation processes
  14. Meat substitutes
  15. Identifying determinants of teachers' judgment (in)accuracy regarding students' school-related motivations using a Bayesian cross-classified multi-level model
  16. Learning and Re-learning in Chat-based CSCL
  17. From stories to maps
  18. Adjust for Windows – Version 1.1
  19. Proof of concept
  20. Learning Strategies of First Year University Students
  21. "If you like something, you want it to develop."
  22. § 22 Level Playing Field and Sustainable Development
  23. Equivalence unbalanced-metaphor, case, and example-from Aristotle to Derrida
  24. Complex Trait-Treatment-Interaction analysis
  25. Aboveground overyielding in grassland mixtures is associated with reduced biomass partitioning to belowground organs
  26. What’s Hot: Machine Learning for the Quantified Self
  27. Vertical gradient in soil temperature stimulates development and increases biomass accumulation in barley