Application of Collaborative Filtering Agent for Document Recommendation in SDI System
| dc.contributor.advisor | Biru Tesfaye | |
| dc.contributor.advisor | Lamenew Workshet (PhD) | |
| dc.contributor.advisor | Taddese Ethiopia | |
| dc.contributor.author | Zinab, Zehara | |
| dc.date.accessioned | 2018-11-30T12:59:01Z | |
| dc.date.accessioned | 2023-11-18T12:44:09Z | |
| dc.date.available | 2018-11-30T12:59:01Z | |
| dc.date.available | 2023-11-18T12:44:09Z | |
| dc.date.issued | 2003-06 | |
| dc.description.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. | en_US |
| dc.identifier.uri | http://etd.aau.edu.et/handle/12345678/14771 | |
| dc.language.iso | en | en_US |
| dc.publisher | Addis Ababa University | en_US |
| dc.subject | Information Retrieval | en_US |
| dc.title | Application of Collaborative Filtering Agent for Document Recommendation in SDI System | en_US |
| dc.type | Thesis | en_US |