Relevant bibliographies by topics / Cross-device attribution

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  1. Journal articles
  2. Dissertations / Theses

Academic literature on the topic 'Cross-device attribution'

Author: Grafiati
Published: 7 June 2025
Last updated: 2 August 2025

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Journal articles on the topic "Cross-device attribution"

1

Brookman, Justin, Phoebe Rouge, Aaron Alva, and Christina Yeung. "Cross-Device Tracking: Measurement and Disclosures." Proceedings on Privacy Enhancing Technologies 2017, no. 2 (2017): 133–48. http://dx.doi.org/10.1515/popets-2017-0020.

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Abstract Internet advertising and analytics technology companies are increasingly trying to find ways to link behavior across the various devices consumers own. This cross-device tracking can provide a more complete view into a consumer’s behavior and can be valuable for a range of purposes, including ad targeting, research, and conversion attribution. However, consumers may not be aware of how and how often their behavior is tracked across different devices. We designed this study to try to assess what information about cross-device tracking (including data flows and policy disclosures) is ob
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2

K, Viswak Raj, Mukesh M, and J.Kalaivani. "Anomaly Detection and Attribution in Network." International Journal of Engineering and Advanced Technology (IJEAT) 9, no. 4 (2020): 686–87. https://doi.org/10.35940/ijeat.C6335.049420.

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In this article, we address the problem of not only id entifying phenomena, but also attributing the phenomenon to the movement that induces it. This causes to a combinatorial optimisation problem, which is prohibitively expensive. Instead we design two anomaly detection algorithms that are small in complexity. The first is based on the system for cross-entropy (CE), which identifies flow anomalies and labels flow anomalies. The second algorithm detects anomalies through GLRT on aggregated flow transformation a compact low-dimensional representation of raw traffic flows. The two algorithms com
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3

Raj, K. Viswak, M. Mukesh, and J. Kalaivani. "Anomaly Detection and Attribution in Network." International Journal of Engineering and Advanced Technology 9, no. 4 (2020): 686–87. http://dx.doi.org/10.35940/ijeat.c6335.049420.

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In this article, we address the problem of not only id entifying phenomena, but also attributing the phenomenon to the movement that induces it. This causes to a combinatorial optimisation problem, which is prohibitively expensive. Instead we design two anomaly detection algorithms that are small in complexity. The first is based on the system for cross-entropy (CE), which identifies flow anomalies and labels flow anomalies. The second algorithm detects anomalies through GLRT on aggregated flow transformation a compact low-dimensional representation of raw traffic flows. The two algorithms com
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4

Hernández Valdés, Jorge, Cruz García Lirios, Eyder Bolivar Mojica, and Oscar Coronado Rincón. "Enforced disappearances and social services : reconstruction of the Ayotzinapa, Iguala, Guerrero (Central Mexico) case." Eleuthera 22, no. 1 (2020): 149–71. http://dx.doi.org/10.17151/eleu.2020.22.1.9.

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Objective. Social historical reconstruction of the Ayotzinapa case from the perspective of Social Work intervention models. Methodology. Mixed, a qualitative, retrospective and hermeneutical study with key informants and other quantitative, cross-sectional and correlational research with an intentional selection of mobilization activists in favor of Ayotzinapa. Results. Disclosure of meanings from discourses and narratives of causal attribution of responsibility to the State for the enforced disappearance and genocide of 43 students, as well as relationships that determine the expectations of
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Ignatius Ijomah, Tochukwu. "A Conceptual Framework for Multi-Channel Marketing Optimization, Consumer Behavior, and Conversion Analytics." International Journal of Advanced Multidisciplinary Research and Studies 5, no. 2 (2025): 1498–508. https://doi.org/10.62225/2583049x.2025.5.2.4011.

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This paper presents a conceptual framework for optimizing multi-channel marketing strategies by integrating consumer behavior insights, data-driven approaches, and advanced analytical tools. In the context of increasingly complex marketing environments, businesses must navigate multiple consumer touchpoints, including traditional and digital channels, to enhance customer engagement and drive conversions. The study emphasizes the crucial role of understanding consumer behavior in shaping personalized marketing strategies and discusses the adoption of predictive analytics, artificial intelligenc
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Researcher. "THE AI REVOLUTION IN AD MEASUREMENT IMPLICATIONS FOR BIG TECH AND ADVERTISERS." International Journal of Research In Computer Applications and Information Technology (IJRCAIT) 7, no. 2 (2024): 1017–25. https://doi.org/10.5281/zenodo.14066629.

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This article explores the transformative impact of artificial intelligence (AI) on ad measurement in the digital advertising landscape. It examines the shift towards AI-powered solutions driven by the need for greater efficiency and personalization in campaign optimization and analysis. The paper delves into the advanced capabilities of AI algorithms in processing massive datasets, enhancing ad targeting, optimizing bidding strategies, and improving performance tracking. Key benefits of AI-powered ad measurement are discussed, including real-time campaign adjustments, advanced fraud detection,
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7

"Anomaly Detection and Attribution in Network." International Journal of Engineering and Advanced Technology 9, no. 4 (2020): 686–87. http://dx.doi.org/10.35940/ijeat.c6335.029320.

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In this article, we address the problem of not only id entifying phenomena, but also attributing the phenomenon to the movement that induces it. This causes to a combinatorial optimisation problem, which is prohibitively expensive. Instead we design two anomaly detection algorithms that are small in complexity. The first is based on the system for cross-entropy (CE), which identifies flow anomalies and labels flow anomalies. The second algorithm detects anomalies through GLRT on aggregated flow transformation a compact low-dimensional representation of raw traffic flows. The two algorithms com
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8

Williamson, Dominic. "Using lift-testing to measure the true value of digital marketing in the cross-device world." Applied Marketing Analytics: The Peer-Reviewed Journal, June 1, 2016. http://dx.doi.org/10.69554/wyyg7033.

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Digital marketing attribution faces a number of challenges as the online landscape evolves. Flaws in last-click models are being exacerbated by the growing move to cross-device usage. With this trend unlikely to change, it is clear that accurate digital marketing measurement requires an understanding of the behaviour of people, rather than devices. This paper presents lift-testing as a methodology that allows for the building and validation of a robust cross-channel digital measurement framework. Examples are provided to show how lift-testing can be used drive more accurate spend decisions tha
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9

Straw, Isabel, Joanna Dobbin, Demelza Luna-Reaver, and Leonie Tanczer. "Simulation-based research for digital health pathologies: A multi-site mixed-methods study." DIGITAL HEALTH 10 (January 2024). http://dx.doi.org/10.1177/20552076241247939.

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Background The advance of digital health technologies has created new forms of potential pathology which are not captured in current clinical guidelines. Through simulation-based research, we have identified the challenges to clinical care that emerge when patients suffer from illnesses stemming from failures in digital health technologies. Methods Clinical simulation sessions were designed based on patient case reports relating to (a) medical device hardware errors, (b) medical device software errors, (c) complications of consumer technology and (d) technology-facilitated abuse. Clinicians we
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Tapia, José, Myriam Eveno, Eric Laval, and Ina Reiche. "Depth‐resolved historical painting study with minimal microsampling, illustrated with a newly discovered Botticelli workshop painting." X-Ray Spectrometry, May 15, 2024. http://dx.doi.org/10.1002/xrs.3430.

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AbstractA painting from the Botticelli workshop has been studied after its recent discovery, with an innovative and noninvasive approach combining two‐ dimensional scanning macro‐x‐ray fluorescence imaging (MA‐XRF) and a laboratory‐based depth‐resolved site‐selective confocal micro‐x‐ray fluorescence (CXRF) device. These analyses were supported by measurements on cross‐sections taken from the artwork using scanning electron microscopy coupled with an energy‐dispersive x‐ray system. The aims of this study are to confirm the painting's attribution and authentication, find characteristic markers
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Dissertations / Theses on the topic "Cross-device attribution"

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Nass, Ole. "Optimizing Online Marketing Efficiency By Analyzing the Mutual Influence of Online Marketing Channels with Respect to Different Devices." Doctoral thesis, Universitat Politècnica de València, 2019. http://hdl.handle.net/10251/122296.

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[ES] ¿Cómo es la atribución en un entorno de omnicanal? Se puede determinar una distinción importante en contraste con la atribución en un entorno multicanal. Además de proporcionar el proceso de análisis de marketing, una especificación del proceso estándar intersectorial para la minería de datos (CRISP¿DM), se utiliza un enfoque de método mixto secuencial para analizar la cuestión principal de la investigación. En el primer paso de esta investigación se analizan las características y los requisitos de atribución eficiente en un entorno omnicanal. A partir de entrevistas semiestructurad
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Journal articles
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