When to Play Your Advertisement? Optimal Insertion Policy of Behavioral Advertisement

2020 ◽  
Vol 31 (2) ◽  
pp. 589-606 ◽  
Author(s):  
Subodha Kumar ◽  
Yinliang (Ricky) Tan ◽  
Lai Wei

Digital advertisements offer a full spectrum of behavioral customization for timing and content capabilities. The existing research in display advertising has predominantly concentrated on the content of advertising; however, our focus is on optimizing the timing of display advertising. In practice, users are constantly adjusting their engagement with content as they process new information continuously. The recent development of emotional tracking and wearable technologies allows platforms to monitor the user’s engagement in real time. The proposed optimal policy regarding the timing of behavioral advertising is based on a threshold policy with a trigger threshold and target level. Analogous to the familiar idea of “price discrimination,” the methods we propose in this study allow the platforms to maximize their revenue by “discriminatory” customization of the timing and length of the advertisement based on the behavior of individual users. Finally, we quantify the benefits of the proposed policy by comparing it with the practically prevalent policies (i.e., preroll, midroll, and a mix of the two) through a simulation study. Our results reveal that, for a wide range of settings, the proposed policy not only significantly increases the platform’s profitability but also improves the completion rate at which consumers finish viewing the advertisement.

Author(s):  
S. Voronkova

The article discusses ways to obtain information about risk factors and the health status of the population. The article describes a new information system «labor Medicine», which allows to organize the collection of a wide range of data for further analysis and application in the activities of various Executive authorities, public organizations, foundations, legal entities and citizens. It is proposed to improve this system by expanding the types of information collected, creating a passport for health promotion organizations, as well as integration with systems that are being implemented in the Russian Federation for managing the health of the working-age population in the context of state policy in the field of Informatization.


Languages ◽  
2021 ◽  
Vol 6 (1) ◽  
pp. 42 ◽  
Author(s):  
Susan E. Kalt ◽  
Jonathan A. Geary

We compare speech production and find morphosyntactic change among children and adolescents speaking two closely related varieties of Quechua in Cuzco, Peru, and Chuquisaca, Bolivia. Quechua languages traditionally employ Object-Verb (OV) word order in main clauses, but robust case marking permits other orders, especially to focalize new information through constituent fronting. In Chuquisaca, but not Cuzco, we find that schoolchildren often omit the accusative suffix -ta from direct objects while retaining a prosodic trace of -ta. In other varieties, loss of accusative marking is associated with a shift towards Verb-Object (VO) word order, as in Spanish. However, we find that Chuquisaqueños use more canonical OV and possessor-possessed order in declarative sentences than do Cuzqueños, who employ a wide range of word orders at the sentence level and deviate from the possessor-possessed norm for Quechua noun phrases. Our finding of more rigid word order in Chuquisaca highlights the complex factors contributing to typological shift in word order and morphology: Omission of case morphology places a greater burden on word order to identify grammatical roles. Further, we find that Chuquisaqueño schoolchildren alone have begun to use huk, “one,” to mark indefiniteness, perhaps to replace determiner-like functions ascribed to -ta and to obsolescent markers such as evidentials.


Author(s):  
Wenzhong Shi ◽  
Michael F. Goodchild ◽  
Michael Batty ◽  
Mei-Po Kwan ◽  
Anshu Zhang

AbstractUrban informatics is an interdisciplinary approach to understanding, managing, and designing the city using systematic theories and methods based on new information technologies. Integrating urban science, geomatics, and informatics, urban informatics is a particularly timely way of fusing many interdisciplinary perspectives in studying city systems. This edited book aims to meet the urgent need for works that systematically introduce the principles and technologies of urban informatics. The book gathers over 40 world-leading research teams from a wide range of disciplines, who provide comprehensive reviews of the state of the art and the latest research achievements in their various areas of urban informatics. The book is organized into six parts, respectively covering the conceptual and theoretical basis of urban informatics, urban systems and applications, urban sensing, urban big data infrastructure, urban computing, and prospects for the future of urban informatics. This introductory chapter provides a definition of urban informatics and an outline of the book’s structure and scope.


2013 ◽  
Vol 27 (2) ◽  
pp. 209-235 ◽  
Author(s):  
Yiwei Cai ◽  
John J. Hasenbein ◽  
Erhan Kutanoglu ◽  
Melody Liao

This paper studies a multiple-recipe predictive maintenance problem with M/G/1 queueing effects. The server degrades according to a discrete-time Markov chain and we assume that the controller knows both the machine status and the current number of jobs in the system. The controller's objective is to minimize total discounted costs or long-run average costs which include preventative and corrective maintenance costs, holdings costs, and possibly production costs. An optimal policy determines both when to perform maintenance and which type of job to process. Since the policy takes into account the machine's degradation status, such control decisions are known as predictive maintenance policies. In the single-recipe case, we prove that the optimal policy is monotone in the machine status, but not in the number of jobs in the system. A similar monotonicity result holds in the two-recipe case. Finally, we provide computational results indicating that significant savings can be realized when implementing a predictive maintenance policies instead of a traditional job-based threshold policy for preventive maintenances.


2021 ◽  
pp. SP518-2021-167
Author(s):  
Rajesh K. Srivastava ◽  
Richard E. Ernst ◽  
Kenneth L. Buchan ◽  
Michiel de Kock

AbstractIdentification of large volume, short duration mafic magmatic events of intraplate affinity in both continental and oceanic settings on the Earth and other planets provides invaluable clues for understanding several vital geological issues of current concern. Of particular importance is understanding the assembly and dispersal of supercontinents through Earth's history, dramatic climate change events including mass extinctions, and processes that have produced a wide range of LIP-related resources such as Ni-Cu-PGE, Au, U, base metals, and petroleum. This current volume presents some of the latest developments and new information on the temporal and spatial distribution of LIPs in both the Precambrian and Phanerozoic, their origin, the plumbing system of mafic dyke swarms, sill provinces, and layered inrusions, and links to mantle plumes/superplumes events, supercontinent reconstructions and associated metallogeny.


Author(s):  
Juan R. Rabuñal Dopico ◽  
Daniel Rivero Cebrian ◽  
Julián Dorado de la Calle ◽  
Nieves Pedreira Souto

The world of Data Mining (Cios, Pedrycz & Swiniarrski, 1998) is in constant expansion. New information is obtained from databases thanks to a wide range of techniques, which are all applicable to a determined set of domains and count with a series of advantages and inconveniences. The Artificial Neural Networks (ANNs) technique (Haykin, 1999; McCulloch & Pitts, 1943; Orchad, 1993) allows us to resolve complex problems in many disciplines (classification, clustering, regression, etc.), and presents a series of advantages that convert it into a very powerful technique that is easily adapted to any environment. The main inconvenience of ANNs, however, is that they can not explain what they learn and what reasoning was followed to obtain the outputs. This implies that they can not be used in many environments in which this reasoning is essential.


Author(s):  
William W. Agresti

Discovery informatics is an emerging methodology that brings together several threads of research and practice aimed at making sense out of massive data sources. It is defined as “the study and practice of employing the full spectrum of computing and analytical science and technology to the singular pursuit of discovering new information by identifying and validating patterns in data” (Agresti, 2003).


2020 ◽  
Vol 12 (19) ◽  
pp. 7836 ◽  
Author(s):  
Pihkala Panu

Eco-anxiety and climate anxiety are widely discussed in contemporary media and are subjects of growing research interest. However, there is a lack of research about the definitions and variations of these phenomena. This article analyzes various views of eco-anxiety from a wide range of disciplines. Insights from various anxiety theories are used to discuss empirical studies about forms of eco-anxiety. The article points out that uncertainty, unpredictability, and uncontrollability seem to be important factors in eco-anxiety. Most forms of eco-anxiety appear to be non-clinical, but cases of “pathological” eco-anxiety are also discussed. Other relevant terms and phenomena are scrutinized, such as ecological grief, solastalgia, and ecological trauma. The relationship between studies on eco-anxiety and research about ecological emotions and affect is probed. Eco-anxiety is found to be closely connected to fear and worry, but several disciplines include discussion of its character as existential anxiety. Psychosocial and sociological perspectives point out that social dynamics shape forms of eco-anxiety in profound ways. While paralyzing forms of eco-anxiety emerge as a problem, it is noted that eco-anxiety manifests itself also as “practical anxiety”, which leads to gathering of new information and reassessment of behavior options. This variety of forms of eco-anxiety should be taken into account in healthcare and public discussion.


2019 ◽  
Vol 35 (21) ◽  
pp. 4442-4444 ◽  
Author(s):  
Jia-Xing Yue ◽  
Gianni Liti

Abstract Summary Simulated genomes with pre-defined and random genomic variants can be very useful for benchmarking genomic and bioinformatics analyses. Here we introduce simuG, a lightweight tool for simulating the full-spectrum of genomic variants (single nucleotide polymorphisms, Insertions/Deletions, copy number variants, inversions and translocations) for any organisms (including human). The simplicity and versatility of simuG make it a unique general-purpose genome simulator for a wide-range of simulation-based applications. Availability and implementation Code in Perl along with user manual and testing data is available at https://github.com/yjx1217/simuG. This software is free for use under the MIT license. Supplementary information Supplementary data are available at Bioinformatics online.


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