To develop and validate an ultra-short measure to assess the Big Five in social network designs, the unipolar items of the Ten-Item Personality Inventory were adapted to create a bipolar single-item scale (TIPI-r), including a new Openness item. Reliability was examined in terms of the internal consistency and test–retest stability of self-ratings and peer-rating composites (trait reputations)....

Due to the data sparsity problem, social network information is often additionally used to improve the performance of recommender system. While most existing works exploit social information to reduce the rating prediction error, e.g., RMSE, a few had aimed to improve the top-k ranking prediction accuracy. This paper proposes a novel top-k oriented recommendation method, TRecSo, which incorpora...

the aim of this study was to estimate suspended sediment by the ann model, dt with cart algorithm and different types of src, in ten stations from the lorestan province of iran. the results showed that the accuracy of ann with levenberg-marquardt back propagation algorithm is more than the two other models, especially in high discharges. comparison of different intervals in models showed that r...

Traditional recommender systems usually ignore the social interactions between users in a social network and assume that users are independent and identically distributed. This assumption hinders the users to have access to personalized recommendations based on their circle of trusted friends. To model the recommender systems more accurately and realistically, we propose a social trust model an...

In an expansive multi-billion international film industry, online reviews inform audiences which films may be the most appealing, determining in part the success a film or franchise. Online reviewers and even review aggregations are biased by social or financial factors; this bias clouds the value of movie reviews by prioritizing and propagating highly visible user’s ratings of films, as compar...

We propose a unifying family of quadratic cost functions to be used in Peer-toPeer ratings. We show that our approach is general since it captures many of the existing algorithms in the fields of visual layout, collaborative filtering and Peer-to-Peer rating, among them Koren spectral layout algorithm, Katz method, Spatial ranking, Personalized PageRank and Information Centrality. Besides of th...

Social network analysis has been a hot research area recently thanks to the availability of many large dataset. One of the problems in social network analysis is to recover the underlying network structure given information about how nodes in the network interact with each other in the past. In the context of social movie website (e.g. Flixster1), if we know when users rate movies, can we find ...

Recommender system plays an important role in our daily life. Recommender systems naturally intimate items to users that might be fascinating for them. We propose probabilistic matrix factorization technique for recommendations. The (PMF) model is proposed which computes continuously with the number of investigations and, more specially, functions well on the massive, inadequate, and very uneve...

suspended sediment estimation is an important factor from different aspects including, farming, soil conservation, dams, aquatic life, as well as various aspects of the research. there are different methods for suspended sediment estimation. this study aims to estimate suspended sediment using feed forward neural network with error back propagation with levenberg-marquardt back propagation algo...