Web development without an integrated structure makes lots of difficulties for users. Web personalization systems are presented to make the website compatible with interest of users in both aspects of contents and services. In this paper extracting user navigation patterns is used to capture similar behaviors of users in order to increase the quality of recommendations. Based on patterns extracted from the same user navigation, recommendations are provided to the user to make it easier to navigate. Recently, web browsing techniques have been widely used for personalization. In this study, a method is proposed to create a user profile with the web usage mining by clustering and neural networks in order to predict the user's future requests and then generate a list of the pages of user's favorites. Simulation results shows that proposed method will increase the accuracy of recommender systems.
Abstract-This article will present a scheduling algorithm for increasing the quality of the distributed system by using genetic algorithm. The proposed algorithm OQSG is more efficient in comparison with the previous algorithms. This proposed algorithm can be reliable like the other algorithms, regarding the effective parameters used for the available scheduling. OQSG algorithm can create more efficient parameters by using the priority function that is more reliable by using the scheduling the most used works. The proposed algorithm can use the least possible time in comparison with the previous algorithm, using new techniques in the purpose function. This condition helps us to use the effective parameters, which increase the system efficiency, after several assessment used in the heterogeneous purpose function. The proposed algorithm can have the optimum selection in processing and allocating the resources, considering maximum and minimum scheduling of works. This work is fulfilled when we decrease the complexity of time. Finally, we could create the efficiency of distributed systems with high quality according to different simulation results.
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