Recommender systems have evolved during the last few years into useful online tools for assisting the daily e-commerce activities. The majority of recommender systems predict user preferences relating users with similar taste. Prior research has shown that trust networks improve the performance of recommender systems, predominantly using algorithms devised by individual researchers. In this wor...

metabolomics studies provide useful information about health and disease status. metabolite based investigations on various cancers is a powerful approach to diagnosis, prognosis and therapy of cancer diseases. recently by using advanced analytical techniques such as nmr and ms and its hyphenation methods, global metabolic profiling of diseases has been possible. it is predictable that internat...

Today, e-commerce has occupied a large volume of economic exchanges. It is known as one of the most effective business practices. Predicted trust which means trusting an anonymous user is important in online communities. In this paper, the trust was predicted by combining two methods of multiplex network and community detection. In modeling the network in terms of a multiplex network, the relat...

this project aims at collecting and cataloging the information pertaining to the research projects and documents concerning water resource. the data collected along with abstracts were entered into worksheets in compliance with us- marc bibliographic format. they were fed into the computer following the necessary validation process. so far more than 5000 documents (proceedings, research report,...

When a user connects to the Internet fulfill his needs, he often encounters huge amount of related information. Recommender systems are techniques for massively filtering information and offering items that users find them satisfying interesting. The advances in machine learning methods, especially deep learning, have led great achievements recommender systems, although these still suffer from ...

Correctness verification of query results is a significant challenge in database outsourcing. Most of the proposed approaches impose high overhead, which makes them impractical in real scenarios. Probabilistic approaches are proposed in order to reduce the computation overhead pertaining to the verification process. In this paper, we use the notion of trust as the basis of our probabilistic app...

The database model presented in this paper is suitable for application in which queries may require non-crisp references to certain attributes. The data item (attribute) values may be crisp or fuzzy. For instance, such adjectives as 'high' or 'normal' may be attribute values for the attribute blood pressure. A disease or a condition can be described by a number of symptoms which may be crisp al...