Application Of Collaborative Filtering Agent For Document Recommendation In Sdi System

Selective Dissemination of Information (SDI) is a personalized information filtering method usedrnfor delivering CUlTent information to users. The objective of SDI service is to reduce users' effortrnin their pursuit of relevant infomlation. However, the performance of SDI service based onrnsimple matching of user interest profiles with new documents, has been inefficient.rnTo improve the efficiency of such services agent based approaches are proposed. Collaborativernfiltering system is one type of agent teclmology that uses a database about user preferences tornpredict additional documents of items that the new user might like. It combines the opinions ofrnhumans to make personalized, accurate predictions. This study is therefore, an attempt to assessrnthe applicability of collaborative filtering approach to SDI service.rnThis report presents the basic ideas of collaborative filtering systems and describes the resultsrnobtained from a preliminary experiment conducted based on the data obtained from IntemationalrnLivestock Research Institute's (ILRI) sm service. Finally, based on the experiment findings,rnrecommendations for further research are forwarded.

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