Recommendation services become a critical and hot research topic for researchers. A recommendation agent that automatically suggests products to users according their tastes or preferences instead of wandering in huge corpus product. Social data such as Reviews play an important role the products. Improvement was achieved by neural network methods capturing user product information from short t...

Online product reviews have become an important opinion resource which many researchers pay their attention to. In this paper, a novel method of opinion mining is proposed and evaluated by a collection of real online product reviews. A hierarchical fuzzy domain sentiment ontology-FDSO has been introduced by this approach, which defines a space of product features and corresponding opinions, thu...

Selecting the most appropriate new product(s) is regarded as a critical decision impacting the economic success of manufacturing companies. In the new product development process, there are different evaluation attributes typically considered by a group of experts, which often can be structured in a multiple level hierarchy. The purpose of this paper is to provide a new hybrid hierarchical mult...

For most types of problems in numerical mathematics, efficient discretization techniques are of crucial importance. This holds for tasks like how to define sets of points to approximate, interpolate, or integrate certain classes of functions as accurate as possible as well as for the numerical solution of differential equations. Introduced by Zenger in 1990 and based on hierarchical tensor prod...

In this paper, a complete review of published researches about hierarchical facility location and hub network problems is presented. Hierarchical network is a system where facilities with different service levels interact in a top-down way or vice versa. In Hierarchical systems, service levels are composed of different facilities. Published papers from (1970) to (2015) have been studied and a c...

This review scrutinizes several findings on human hierarchical processing within the prefrontal cortex (PFC) in diverse cognitive domains. Converging evidence from previous studies has shown that the PFC, specifically, BA44, may function as the essential region for hierarchical processing across the domains. In language fMRI studies, BA 44 was significantly activated for the hierarchical proces...

this survey is aimed to compare the hierarchical structure of subject directories, including yahoo, the open directory and looksmart with dewey decimal classification (ddc) in 10 selective subjects. five questions are raised to compare the broadness and the depth of the hierarchical structures in the subject directories and ddc and to study the effectiveness of the usage of ddc in the organizat...

Sum-Product Networks (SPNs) are a class of expressive yet tractable hierarchical graphical models. LearnSPN is a structure learning algorithm for SPNs that uses hierarchical co-clustering to simultaneously identifying similar entities and similar features. The original LearnSPN algorithm assumes that all the variables are discrete and there is no missing data. We introduce a practical, simplifi...