01334nas a2200133   4500008004100000245005900041210005500100260001200155300001000167490000700177520093900184100002101123856005601144       2020                        eng d00a	 Real Estate Loan Knowledge-Based Recommender System-0 aReal Estate Loan KnowledgeBased Recommender System  c04/2020  a65-770 v183 a<p>&nbsp;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.</p>
1 aAdla, Abdelkader  uhttp://dline.info/fpaper/jdim/v18i2/jdimv18i2_3.pdf