Real Estate Loan Knowledge-Based Recommender System
Abdelkader Adla
Journal of Digital Information Management, Vol. 18, No. 2, 2020.
DOI: https://doi.org/10.6025/jdim/2020/18/2/65-77
Link: 
Abstract:
In decision making, the decision-makers frequently employ and perform routine tasks. These processes
normally are time-intensive, complex, and in most cases occur regularly. To address this challenge decision makers reuse the already successful decisions. During difficult times, such actions may lead to save time, energy and man-hours, and also result in effective decision making. Memory building depends on how we successfully store earlier knowledge. We through this work introduce a recommender system which is names as BLKBRS which utilized the earlier successful models. In this work we use a case of bank loan and experimented using a semi-structured multiple attribute recommendation
environment, and equate the RL-KBRS with a conventional case based reasoning system. RL-KBRS will
compensate for lack of experience of young bank consultants, which permits the spread of knowledge distribution to other banks.