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