Olsson, Tomas (1998) Information Filtering with Collaborative Interface Agents. Masters thesis, Department of Computer and Systems Sciences.
This report describes a distributed approach to social filtering based on the agent metaphor. Firstly, previous approaches are described, such as cognitive filtering and social filtering. Then a couple of previously implemented systems are presented and then a new system design is proposed. The main goal is to give the requirements and design of an agent-based system that recommends web-documents. The presented approach combines cognitive and social filtering to get the advantages from both techniques. Finally, a prototype implementation called WebCondor is described and results of testing the system are reported and discussed.
|Item Type:||Thesis (Masters)|
|Uncontrolled Keywords:||recommender systems, collaborative filtering, information retrieval, multi-agent systems, software agent|
|Deposited By:||Thomas Olsson|
|Deposited On:||14 Jul 2008|
|Last Modified:||18 Nov 2009 16:11|
Repository Staff Only: item control page