Application of Collaborative Filtering Agent for Document Recommendation in SDI System
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Date
2003-06
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Addis Ababa University
Abstract
Selective Dissemination of Information (SDI) is a personalized information filtering method used
for delivering current information to users. The objective of SDI service is to reduce users’ effort
in their pursuit of relevant information. However, the performance of SDI service based on
simple matching of user interest profiles with new documents, has been inefficient.
To improve the efficiency of such services agent based approaches are proposed. Collaborative
filtering system is one type of agent technology that uses a database about user preferences to
predict additional documents of items that the new user might like. It combines the opinions of
humans to make personalized, accurate predictions. This study is therefore, an attempt to assess
the applicability of collaborative filtering approach to SDI service.
This report presents the basic ideas of collaborative filtering systems and describes the results
obtained from a preliminary experiment conducted based on the data obtained from International
Livestock Research Institute’s (ILRI) SDI service. Finally, based on the experiment findings,
recommendations for further research are forwarded.
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Keywords
Information Retrieval