Elham Hoseini

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This paper introduces an approach to derive whether an individual is related to an item or not. In our approach, the well-known DBLP dataset is used and we try to find some skills that are related to an author that we were not aware of before. To realize our objective, we cluster authors and skills using Spectral Graph Clustering algorithm, then(More)
A lot of research in social networks has been devoted in the recommendation of individuals. Most of the work has focused on finding appropriate people one in question, regarding the input social graph and their attributes. However, for many applications one is interested in finding a team of experts for a given query. For a given social graph and a task(More)
The usage of high-dimensional data complicates data processing in social network area. Accordingly, the researchers are motivated to propose some novel approaches to overcome this challenge. One of the best solutions is extracting the effective information from data pool and discarding the unnecessary ones. Feature selection is a known technique which aims(More)
Collaborative filtering is a widely used approach in recommendation systems which predict user preferences by learning from user-item ratings. To extract either user relationship or item dependencies, there exist several well known approaches; among them clustering is of great importance. Traditional clustering methods in collaborative filtering usually(More)
Collaborative Filtering (CF) is a widely used approach in recommendation systems that predicts user preferences by learning from user-item ratings. To extract either user relationship or item dependencies, there exists several well known approaches; among them clustering is of great importance. Inspired by this understanding, this paper presents a novel(More)
PURPOSE The purpose of the study was to introduce a novel technique for malar augmentation using buccal fat pad pedicle flaps and to evaluate the long-term results and complications of the technique. MATERIALS AND METHODS The investigators designed and conducted a prospective clinical trial. Patients underwent unilateral malar augmentation surgery using(More)
Most of the data in the field of social media has many features. Accordingly, one of the main challenges in this field is processing such high-dimensional data. Researchers are motivated to propose novel approaches in order to overcome this problem. One of the best solutions is extracting the effective information from data pool and discard unnecessary one.(More)
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