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Amalthaea and Histos: MultiAgent Systems for WWW Sites and Reputation Recommendations

  • Alexandros Moukas
  • Giorgos Zacharia
  • Pattie Maes
Chapter

Abstract

As stated in the previous chapters, recommender systems have long been a favorite application area for agent and multiagent systems researchers. The recommender systems space has traditionally been divided into systems that try to analyse the contents of documents and system that use methods other than content analysis. Content-based filtering systems are using techniques like weighed keyword vectors and SVD, while collaborative filtering and pair-wise ratings are used in the second systems category. In this chapter we will introduce two systems: Amalthaea, that falls in the former category and uses weighed keyword vectors as its representation and Histos, a pair-wise rating system that falls in the latter category.

Keywords

Recommender System Multiagent System User Profile User Feedback Reputation System 
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.

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Copyright information

© Springer-Verlag Berlin Heidelberg 1999

Authors and Affiliations

  • Alexandros Moukas
    • 1
  • Giorgos Zacharia
    • 1
  • Pattie Maes
    • 1
  1. 1.Software Agents GroupMIT Media LaboratoryCambridgeUSA

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