This paper proposes HNN, a holistic neural network structure for click-through rate (CTR) prediction in recommender systems. Empirically, equipped with HNN, the performance of deep neural networks for CTR prediction are improved on Criteo and Huawei App Store datasets.

Many studies of ubiquitous computing systems involve deploying a system to a group of users who will be studied through direct observation, interviews and the gathering of system log data. However, such studies are often limited in the number of participants and duration of the trial, particularly if the researchers are providing the participants with hardware. Apple’s App Store and similar app...

Do store brands help differentiate a store to attract store loyal consumers? Or do they attract price sensitive cherry pickers who are not store loyal? To answer these questions empirically, the authors construct appropriate metrics of store brand loyalty and store loyalty, that do not impose mathematical relationships between the two variables—a problem with recent works in this area. Using da...

When conducting mass participation trials on Apple iOS devices researchers are forced to make a choice between using the Apple App Store or third party software repositories. In order to inform this choice, this paper describes a sample application that was released via both methods along with comparison of user demographics and engagement. The contents of these repositories are examined and co...

The problem of massive-domain stream classification is one in which each attribute can take on one of a large number of possible values. Such streams often arise in applications such as IP monitoring, super-store transactions and financial data. In such cases, traditional models for stream classification cannot be used because the size of the storage required for intermediate storage of model s...

On two-sided markets, a platform intermediates between two distinct groups of customers linked by network effects. Over the last decade, a large body of literature on theoretical as well as applied aspects of two-sided markets has been published, for example, Rochet and Tirole (2003, 2006), Caillaud and Jullien (2003), Evans (2003) and Armstrong (2006), to name just a few. At the same time, new...

Background: As smartphone use increases, the use of applications (apps) regarding healthcare expands. Using medical apps has become commonplace for both medical professionals and the general public. Before apps are used it is important that the information that they deliver is accurate and can be used with confidence. Overdose is a common problem presenting to emergency departments and apps pro...

Seeking a more equitable way to govern and distribute the revenues generated by App-store marketplaces.

Abstract: This research explores how expressed emotional arousal in a consumer review affects reader perceptions of its helpfulness. Drawing from research on written communication and lay theories of emotion, the authors propose a pattern of diminishing returns, in which the marginal effect of arousal on perceived helpfulness is positive at low levels of arousal but diminishes at higher levels....

This work addresses the issue of prioritized reasoning in the context of logic programming. The case of preference conditions involving atoms is considered and a refinement of the comparison method of the ASO semantics is presented. The paper introduces the concept of “choice”, as a set of preference rules describing common choice options in different contexts and proposes a new semantics that ...