Case-Based Reasoning System to Recommend Desitnation Country for Human Migrants

Human migration is the challenge process in Ethiopia, special illegal human migrants they across different border countries without any basic information or knowledge. Due to this, there is difficulty of getting vast amount of information to know the destination countries, simple they go without any information, also wastes more time, cost, violet their human right and also it danger for their life.

Hence, the objective of this thesis is to build case based automatic recommender (CBR system in case of human migration in Ethiopia. The methodologies employed in this study are data collection tools like interview, questionnaire and assessment of existing documents. The system is tested in terms of performance the system and its user acceptance. From these perspectives, the average performance, recall and precision of the system is score 92% (4.60), 0.91 (91%) and 0.63 (63%) respectively from domain experts and system performance. Developing a recommender system in this study therefore helps migrants to have a right and clear decision about the destination countries for human migrants.