Context-aware recommender systems are intended primarily to consider the circumstances under which a user encounters an item provide better-personalized recommendations. Users acquire point-of-interest, movies, products, and various online resources as suggestions. Classical collaborative filtering algorithms shown be satisfactory in variety of recommendation activities processes, but cannot of...

abstract the aim of this study was to evaluate the status of information on forest and data transfer and to identify the gaps in information and data flow in forestry sector in iran. the study evaluated the data and information flow in three levels (control offices level, provincial offices level and organizational offices level) using the document analysis and questioning (interviews and ques...

nowadays the science of remote sensing and satellite data, constitute modern scientific tools,as they provide important information and make research easier in many scientific fields. this research articlepresents an integrated system for continuous monitoring of the vegetation and the human impact on the natura2000 protected areas of strofilia forest and kotychi lagoon (natura 2000 codes: gr 2...

the large number of applications manages time varying data. existing databasetechnology seldom supports temporal database, tdb, according to time aspects.these intrinsic temporal database applications rely on such database which storesand retrieves time referenced data. moreover, applications need to be managed oncommon data items access simultaneously and to be precluded from inconsistencyas s...

information avalanche (overload or expansion) in various scientific fields is a novel issue turned out by a number of factors considered necessary to facilitate their record and registration. though, the biological science and its diverse fields like proteomics are not immune of this event and even may be as the event’s herald. on the other hand, time as the most valued anxiety of human has enc...

Expeditious growth of Internet and related network technologies has spectacularly increased the popularity of social networking systems such as blogs, forums, reviews sites etc. These systems allow the web users to share and disseminate their experiences and opinions with millions of users across the globe. This collaborative behavior of community can be observed as an electronic word of mouth ...

The most recent invasions in social networks make it inevitable to develop a network with high dependence and confidence to users. Even though recommender systems of today use advanced parallelism in web development, achieving trustworthiness in such a system has been a challenging task for several years. To overcome the existing sparsity, scalability and dynamism in new item/user issues, we pr...

Trustworthy computing has recently attracted significant interest from researchers in several fields including multi-agent systems, social network analysis, and recommender systems. As an additional dimension of information to past rating history, trust has been shown to be helpful for improving the accuracy of recommendations. Studies on the relationship between trust and rating behaviors may ...