In the current era, a rapid increase in data volume produces redundant information on internet. This predicts appropriate items for users great challenge systems. As result, recommender systems have emerged this decade to resolve such problems. Various e-commerce platforms as Amazon and Netflix prefer using some decent recommend their users. literature, multiple methods matrix factorization col...

In this study, we analyze the aspect ratings and overall of chain restaurants retrieved from TripAdvisor multi-dimensional rating system. We gain including food rating, value service atmosphere their corresponding restaurant individual reviews each restaurant. build three econometric models to examine how is affected found that has a significant positive impact on rating. Another interesting fi...

Risk assessment of credit portfolios is of pivotal importance in the banking industry. The bank that has the most accurate view of its credit risk will be the most profitable. One of the main pillars in assessing credit risk is the estimated probability of default of each counterparty, i.e., the probability that a counterparty cannot meet its payment obligations in the horizon of one year. A cr...

AIMS To develop and validate a short form of the 54-item Diabetes Medication System Rating Questionnaire that maintains the domains and performance characteristics of the long-form questionnaire. METHODS Data from the Diabetes Medication System Rating Questionnaire validation study were analysed to select items representing the nine scales (convenience, negative events, interference, self-mon...