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Iseller - A Generic and Hybrid Recommendatio System for Interactive Selling Scenarios

Dimension Value
  • Type of the Research Result
  • Implementation
    • Software in Service Systems
  • Current Status of Development
  • Development Completed
    • Without Economical Utilization
  • Number of Cases
  • Not Specified
  • Functional Area
  • Core Processes
    • Core Processes First Level
      • Breakup of Networks of Product-Service-Systems
    • Core Processes Second Level
      • Distribution of Product-Service-Systems
  • Company Size
  • Not Specified
  • Lifecycle Phase
  • Pre-Utilization
  • Types of Customers of Value Bundles
  • Businesses
  • Industry Sector
  • Not Specified
  • Trade
  • Standardization
  • Not Specified

This paper presents ISeller an industry-strength recommendation system for online shopping platforms. The system supports several recommendation paradigms like collaborative, content-based and knowledge-based filtering as well as one-shot and conversational interaction modes. A generic user modelling component allows different forms of hybrid reasoning strategies as well as enables the system to support a process-oriented way of interactive selling in various product domains. This application paper contributes a comprehensive scenario for interactive selling on commercial platforms and thus motivates central user modelling services for recommendation systems.

This research result was described by Sanja Tumbas (28. April 2011 - 22:16)
This research result was last edited by Sanja Tumbas (26. November 2011 - 1:03)

Further information

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