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Recommender systems are systems that help internet users to decide according to their personality based characteristics by giving some suggestions. Because these systems confront with numerous data and must offer the best suggestion to users in a reasonable time, these suggestions should provide some specifications together include accuracy, novelt...
In recent years, new meta-heuristic algorithms have been developed to solve optimization problems. Recently-introduced Cuckoo Optimization Algorithm (COA) has proven its excellent performance to solve different optimization problems. Precedence Constrained Sequencing Problem (PCSP) is related to locating the optimal sequence with the shortest trave...
In this paper, a new model to evaluate business intelligence (BI) for enterprise systems is presented. Evaluation of BI before making decisions about buying and deployment can be an important decision support system for managers in organizations. In this paper, a simple and practical method is presented that evaluates BI for enterprise systems. In...
Nowadays, consumer trust is identified as one of the most important factors in electronic commerce (e-commerce) growth. This has led much research to investigate the role of trust in e-commerce and determine the factors which influence trust in this area. This paper explores factors which are engaged in building initial consumer trust in online sho...
Nowadays, due to the inherent complexity of the real optimization problems, it is a challenging issue to develop a solution algorithm to these problems. Single row facility layout problem (SRFLP) is an NP-hard problem of arranging a number of rectangular facilities with varying lengths on one side of a straight line with the aim of minimizing the w...