Recently recommender systems started to gain ground in commercial Web-applications. For example, the online-bookseller amazon.com recommends his customers books similar to the ones they bought using the analysis of observed purchase behavior of consumers.
In this article we describe a generic architecture for recommender services for information markets which has been implemented in the setting of the Virtual University of the Vienna University of Economics and Business Administration (http://vu.wu-wien.ac.at). The architecture of a recommender service is defined as an agency of interacting software agents. It consists of three layers, namely the meta-data management system, the broker management system and the business-to-customer interface.
Keywords
- Recommender System
- Information Object
- Software Agent
- Recommender Service
- Aggregation Agent
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.