DEVELOPING CASE BASED RECOMMENDER SYSTEM IN MICRO AND SMALL ENTERPRISES DEVELOPMENT AGENCY FOR THE SELECTION OF ENTERPRISES TO NEW MEMBERS: THE CASE OF ETHIOPIA

Yirga Yayeh Munaye

Abstract


The main objective of this study is to develop case based recommender system for the selection of enterprise sectors and activities in Ethiopia. In order to conduct the research, the required knowledge was collected from previous sector members’ cases, domain experts, and documents through interview and document analysis methods. After all, the knowledge is modeled by hierarchical tree model and case based reasoning system has constructed. The prototype of case based reasoning for enterprise sector and activity selection is implemented by jCOLIBRI 1 programming tool. Nearest neighbor retrieval algorithm is used to measure the similarity of new case (query) with cases in the case base. As a result, if there is a similarity between the new case and the existing case, the system assigns the solution of previous case as a solution to new case. To determine the applicability of the prototype system in the domain area, the system has been evaluated by domain experts and members through visual interaction based and testing.


References


 Robin Burke, “Knowledge-Based Recommender Systems Department of Information and Computer Science,” University of California, 1995.

 Mulu GebreEyesus, “Growth of Micro Enterprises Empirical: Evidence from Ethiopia” Development Research Institute (EDRI), 2007.

 Hk Hailu, “Success factors in Micro and Small Enterprises Cluster Development:”Case of Gulle le Handloom Clusters in Ethiopia, Addis Ababa, Ethiopia, 2010.

 Netsanet Jote, Cluster Approach for Enhancing the productivity and competitiveness of Micro and Small Enterprises /MSEs/ Case Study on Bamboo Micro and Small Enterprises, 2009.

 Micro and Small Enterprises Development Strategy, Addis Ababa, Ethiopia, 1997.

 Yibeltal Chanie, “Application of Case Based Recommender System in Investment Sector and Investment Activity Selection to New Investors:” In the case of Ethiopia, 2013.

 Biazen Getnet, “Application of Case Based Recommender System to Advice Students in Field of Study Selection at Higher Education in Ethiopia,” 2013.

 Guy Shani and Asela Gunawardana, “Evaluating Recommendation Systems,” 2010.

 Ethiopian Investment Agency, Manuals of Ethiopian investment guide, Ethiopia, Addis Ababa, 2012.

• Fabiana Lorenzi and Francesco Ricci, Case-Based Recommender Systems: a Unifying View, 2000.

• Background Issue Paper on Legal Empowerment of the Poor Entrepreneurship, Addis Ababa, 2006.

• Trade and development Office, Micro and Small Enterprises Development Strategy, Ethiopia, Addis Ababa, 1997.

• Getachew Wassie, “Application of Case-Based Reasoning for Anxiety Disorder Diagnosis, Addis Ababa, Ethiopia, 2012.

• Ethiopia Tadesse Akana, “Application of Case-based Reasoning for Amharic Legal Precedent Retrieval:” A Case Study with the Ethiopian Labor Law, 2002.

• Federal Micro and Small Enterprises Development Agency, Manual on the Micro and Small Enterprise in Ethiopia, 2013.

• Endalkachew Mulugeta, “Underlying Causes of Micro and Small Business Failures in Addis Ketema Sub City:” A Case Study, Addis Ababa, Ethiopia, 2008.

• Robin Burke, Hybrid Recommender Systems: Survey and Experiments California State

University, Fullerton Department of Information Systems and Decision Sciences, 2002.

• P. Brusilovsky, A. Kobsa, and W. Nejdl (Eds.), Case-Based Recommendation the Adaptive,pp. 342–376, 2007.


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ISSN : 2251-1563