Rating a robo‐rater

Rating items by rating tags

Different proposals have been made in recent years to exploit Social Web tagging data to improve recommender systems. The tagging data was used for example to identify similar users or viewed as additional information about the recommendable items. In this work we propose to use tags as a means to express which features of an item users particularly like or dislike. Users would therefore not on...

Predicting Credit Rating and Credit Rating Changes: A New Approach

In this paper, we propose a hazard rate model for studying credit rating and credit rating changes. Theoretically the hazard rate model is more appropriate than the previous static models. Yet it is difficult to estimate hazard rate model, especially when the covariates are time-varying. This paper extends the results of Shumway(2001) and shows that a multiple-state hazard rate model can be est...

Designing a trust-based recommender system in Social Rating Networks

One of the most common styles of business today is electronic business, since it is considered as a principal mean for financial transactions among advanced countries. In view of the fact that due to the evolution of human knowledge and the increase of expectations following that, traditional marketing in electronic business cannot meet current generation’s needs, in order to survive, organizat...

A new stroboscopy rating form.

A newly developed stroboscopy rating form is presented. The evolution of the new form is discussed by focusing on how problems with another commonly used form led to its development. Interjudge agreement and intrajudge reliability data for the new rating form reveal that the parameters of phase closure, phase symmetry, and phase regularity remain difficult to rate even with the revised rating f...

A rating scale for depression.