this paper presents a new approach for assessing agricultural landscapes based on mixturemethods and the study and definition of aesthetic attributes as lines, forms, texture, spatial composition, scaleand color as they are the closest to human perceptual aesthetic attributes. a set of variables capable ofquantifying those attributes in a simple, objective and systematized way will be proposed....

This study investigates the preferences of instructors and students for design and pedagogy features of online instruction at the post-secondary level. Participants included 60 instructors and 200 students at a comprehensive research university. Correlation coefficients of .95 on the design item rankings and .87 on the pedagogy item rankings were found between instructors and students. An indep...

Phosphorylation is the most widespread and well studied reversible posttranslational modification. Discovering tissue-specific preferences of phosphorylation sites is important as phosphorylation plays a role in regulating almost every cellular activity and disease state. Here we present a comprehensive analysis of global and tissue-specific sequence and structure properties of phosphorylation ...

Vertical handover decision algorithm that is based on user preferences and coupled with Media Independent Handover (MIH) local triggers have not been explored much in the literature. We have developed a comprehensive cross-layer solution, called Vertical Handover Decision (VHOD) approach, which consists of three parts viz. mechanism for collecting and storing user preferences, Vertical Handover...

In this article, we explore how independently reported measures of subjects' cognitive capabilities, preferences, and sociodemographic characteristics relate to their behavior in a real-effort moral dilemma experiment. To do this, we use a unique dataset, the Chapman Preferences and Characteristics Instrument Set (CPCIS), which contains over 30 standardized measures of preferences and character...

Advanced personalized e-applications require comprehensive knowledge about their user’s likes and dislikes in order to provide individual product recommendations, personal customer advice and custom-tailored product offers. In our approach we model such preferences as strict partial orders with “A is better than B” semantics, which has been proven to be very suitable in various e-applications. ...

Existing methods to measure the rank accuracy of a recommender system assume the ground truth is either a set of user ratings or a total ordered list of items given by the user with possible ties. However, in many applications we are only able to obtain implicit user feedback, which does not provide such comprehensive information, but only gives a set of pairwise preferences among items. Genera...

The discovery of new music, e.g. song tracks and artists, is a central aspect of music consumption. In order to assist users in this task, several mechanisms have been proposed to incorporate novelty awareness into music recommender systems. In this paper, we complement these efforts by investigating how the music preferences of users are affected by two different aspects of novel artists, name...

The eighth-grade student assignment project is an initiative of the School District of Philadelphia that assigns students to high school academic programs based on student preferences, academic preparation, program capacity and desegregation requirements. This paper describes recent modifications to the eighth-grade student assignment process that resulted in: a comprehensive, realistic descrip...

Ranking is an important concept to avoid empty or overfull and unordered result sets. However, such scoring can only express total orders, which restricts its usefulness when several factors influence result relevance. A more flexible way to express relevance is the notion of preferences. Users state which kind of answers they ‘prefer’ by adding soft constraints to their queries. Current approa...