frbrizing opacs is viewed from two different angles: the system approach and the user approach. the first deals with different requirements of a system to be frbrized automatically. the second regards the user as the integral element which any system attempts to serve. due to the very huge number of marc records stored in our opac databases, data mining marc records to find different frbr entit...

The acceptance of a knowledge-based system by the end user has been regarded as one of the major criteria for its success. The user interface design is one of the main reasons that hindered knowledge-based systems transition from prototype to everyday use. The success of knowledge-based systems therefore depends on the user interfaces as well as the efficiency of its knowledge encoding and reas...

 Recommender systems are a branch of retrieval systems and information matching, which through identifying the interests and requires of the user, help the users achieve the desired information or service through a massive selection of choices. In recent years, the recommender systems apply describing information in the terms of the user, such as location, time, and task, in order to produce re...

user-generated medical messages on internet contain extensive information related to adverse drug reactions (adrs) and are known as valuable resources for post-marketing drug surveillance. the aim of this study was to find an effective method to identify messages related to adrs automatically from online user reviews.we conducted experiments on online user reviews using different feature set an...

This paper addresses the mixed integer reliability redundancy allocation problems to determine simultaneous allocation of optimal reliability and redundancy level of components based on three objective goals. System engineering principles suggest that the best design is the design that maximizes the system operational effectiveness and at the same time minimizes the total cost of ownership (TCO...

Recommender systems engage user profiles and appropriate filtering techniques to assist users in finding more relevant information over the large volume of information. User profiles play an important role in the success of recommendation process since they model and represent the actual user needs. However, a comprehensive literature review of recommender systems has demonstrated no concrete s...