Information Filtering with Collaborative Interface Agents
Number of Authors: 1
Independent thesis Advanced level (degree of Master (Two Years))Student thesis
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.
Place, publisher, year, edition, pages
1998, 1. , 57 p.
recommender systems, collaborative filtering, information retrieval, multi-agent systems, software agent
Computer and Information Science
IdentifiersURN: urn:nbn:se:ri:diva-22235OAI: oai:DiVA.org:ri-22235DiVA: diva2:1041780