I-Corps: AdsProphet: Full-screen Delay-aware Mobile Ads Display
I-Corps:AdsProphet:全屏延迟感知移动广告显示
基本信息
- 批准号:1558209
- 负责人:
- 金额:$ 5万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2015
- 资助国家:美国
- 起止时间:2015-09-01 至 2016-05-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Mobile advertising is a large and quickly growing market, driven by the movement of viewing traffic and advertising dollars from other media to mobile. In 2014, mobile worldwide ad spending is about $40 billion and it's expected to top nearly $200 billion in 2019. Among all the hundreds of thousands of app developers operating today, 90% of which offer free apps that create revenues through "in-app" advertising: they get paid when a user clicks on an ad embedded in their apps. Nowadays, these app developers have to play banner ad in their apps, which is a small-sized ad form that usually runs at the bottom of the screen, attracting littler user attentionand thus reducing developers' revenues. The proposed technology "AdsProphet" is a novel mobile ads library that is based on the observation that when user using apps, a lot of time has been wasted on waiting for the app to load remote data and such 'freezing time' has not been fully taken advantage of. AdsProphet can find these valuable windows and displays full-screen ads, which attracts user attention 25 times higher than what banner ads can achieve. This I-Corps team assumes app developers can use AdsProphet to display full-screen ads at a rate of 10% of banner ads, then AdsProphet is expected to double developers' revenue without affecting user experiences.The key technique behind AdsProphet is a novel real-time user-perceived delay prediction system on mobile device. It's challenging to propose such a system: first, during each networking delay,only a portion of it is user-perceived delay when user can do nothing but to wait. There is no built-in event for it in any systems. This I-Corps team proposes a novel approach that is able to intelligentlydetect user-perceived delay by combing techniques of network behavior manipulation, image similarity comparison algorithms and user behavior model. Second, the networking condition varies dramatically and frequently on a mobile device: users move their phones from place to place and connect to different networks such as WIFI or cellular network all the time. Moreover, the prediction process must decide whether or not to play ads in real-time; otherwise, it wastes the time to play full-screen ads and affect developers? revenues. The team first proposes an approach to predict user-perceived delay by designing a novel algorithm to efficiently estimate bandwidth aswell as round trip time to target servers, both of which serve as the most essential indicators of current networking condition. Then, to further accelerate the proposed prediction system, the team proposes a networking history model based on user's history.
移动广告是一个庞大且快速增长的市场,受到观看流量和广告收入从其他媒体向移动设备转移的推动。 2014 年,全球移动广告支出约为 400 亿美元,预计 2019 年将突破近 2000 亿美元。当今运营的数十万应用开发商中,90% 提供免费应用,通过“应用内”创造收入广告:当用户点击应用程序中嵌入的广告时,他们就会获得报酬。如今,这些应用程序开发者必须在他们的应用程序中播放横幅广告,这是一种小尺寸的广告形式,通常运行在屏幕底部,吸引的用户注意力较少,从而减少了开发者的收入。所提出的技术“AdsProphet”是一种新颖的移动广告库,它基于以下观察:用户使用应用程序时,大量时间被浪费在等待应用程序加载远程数据上,而这种“冻结时间”尚未充分利用被利用了。 AdsProphet可以找到这些有价值的窗口并显示全屏广告,其吸引用户注意力的程度比横幅广告高25倍。 I-Corps 团队假设应用程序开发者可以使用 AdsProphet 以横幅广告 10% 的比例展示全屏广告,那么 AdsProphet 有望在不影响用户体验的情况下使开发者收入翻倍。AdsProphet 背后的关键技术是一种新颖的真实-移动设备上的时间用户感知延迟预测系统。提出这样一个系统是具有挑战性的:首先,在每次网络延迟期间,只有一部分是用户感知的延迟,此时用户只能等待。任何系统中都没有内置事件。 I-Corps 团队提出了一种新颖的方法,通过结合网络行为操纵、图像相似度比较算法和用户行为模型技术,能够智能地检测用户感知的延迟。其次,移动设备上的网络状况变化剧烈且频繁:用户将手机从一个地方移动到另一个地方,并始终连接到不同的网络,例如 WIFI 或蜂窝网络。而且,预测过程必须实时决定是否播放广告;不然浪费时间打全屏广告,影响开发者?收入。该团队首先提出了一种预测用户感知延迟的方法,通过设计一种新颖的算法来有效地估计带宽以及到目标服务器的往返时间,这两者都是当前网络状况最重要的指标。然后,为了进一步加速所提出的预测系统,该团队提出了一个基于用户历史的网络历史模型。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Yan Chen其他文献
Nuclear Reactor Diagnostic System Using GA Trained Neural Networks
使用 GA 训练的神经网络的核反应堆诊断系统
- DOI:
10.1541/ieejeiss1987.114.9_922 - 发表时间:
1994 - 期刊:
- 影响因子:0
- 作者:
Yan Chen;M. Narita;Takayoshi Yamada - 通讯作者:
Takayoshi Yamada
A novel multiplex rt-PCR assay for the detection of four chromosomal translocations of leukemia.
一种新型多重 rt-PCR 检测方法,用于检测白血病的四种染色体易位。
- DOI:
10.1089/gtmb.2014.0243 - 发表时间:
2014 - 期刊:
- 影响因子:1.4
- 作者:
Yingxi Hu;Q. Duan;Yan Chen;Li Yao;Zixing Chen;Kai Li;Wanping Sun - 通讯作者:
Wanping Sun
On the Developing Reference Frame Transformation for Complex AC Systems from a Data-Driven Perspective
从数据驱动的角度谈复杂交流系统的开发参考系转换
- DOI:
10.1109/iecon51785.2023.10311705 - 发表时间:
2023 - 期刊:
- 影响因子:0
- 作者:
Xing Qi;Tingting Qiu;Yan Chen;Qian Zhang;Jiazi Xu;Wenping Cao - 通讯作者:
Wenping Cao
Distributed state estimation with lossy measurement compression in smart grid
智能电网中具有有损测量压缩的分布式状态估计
- DOI:
10.1109/globalsip.2013.6736929 - 发表时间:
2013 - 期刊:
- 影响因子:0
- 作者:
Hang Ma;Yu;Qi Wang;Yan Chen;K. Liu - 通讯作者:
K. Liu
The Growth and Mechanical Properties of Abalone Nacre Mesolayer
鲍鱼珍珠层中层的生长和力学性能
- DOI:
10.1007/978-3-319-41351-8_20 - 发表时间:
2017 - 期刊:
- 影响因子:8.2
- 作者:
Anqi Zhang;Yan Chen;M. Sullivan;B. Prorok - 通讯作者:
B. Prorok
Yan Chen的其他文献
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{{ truncateString('Yan Chen', 18)}}的其他基金
Collaborative Research: CNS Core: Small: Accelerating Serverless Cloud Network Performance
协作研究:CNS 核心:小型:加速无服务器云网络性能
- 批准号:
2229454 - 财政年份:2023
- 资助金额:
$ 5万 - 项目类别:
Standard Grant
EAGER: DCL: SaTC: Enabling Interdisciplinary Collaboration: Adapting Economic Games to Personalize Privacy and Security Nudges
EAGER:DCL:SaTC:实现跨学科合作:调整经济游戏以个性化隐私和安全推动
- 批准号:
2209507 - 财政年份:2022
- 资助金额:
$ 5万 - 项目类别:
Standard Grant
RINGS: Accelerating the NextG Protocols Definition to Code Generation with an Automatic and Secure Verification-Compilation Tool-Chain
RINGS:利用自动安全的验证编译工具链加速 NextG 协议定义到代码生成
- 批准号:
2148177 - 财政年份:2022
- 资助金额:
$ 5万 - 项目类别:
Continuing Grant
GOALI: Modeling, Evaluation, and Control of Tire Blowout for Automated and Partially Automated Vehicles
GOALI:自动和半自动车辆轮胎爆裂的建模、评估和控制
- 批准号:
2043286 - 财政年份:2021
- 资助金额:
$ 5万 - 项目类别:
Standard Grant
TWC: TTP Option: Medium: Collaborative: Identifying and Mitigating Trust Violations in the Smartphone Ecosystem
TWC:TTP 选项:中:协作:识别和减轻智能手机生态系统中的信任违规行为
- 批准号:
1408790 - 财政年份:2014
- 资助金额:
$ 5万 - 项目类别:
Standard Grant
NeTS: Small: WaveCube: A Scalable, Fault-Tolerant, High-Performance Optical Data Center Architecture
NeTS:小型:WaveCube:可扩展、容错、高性能光数据中心架构
- 批准号:
1219116 - 财政年份:2012
- 资助金额:
$ 5万 - 项目类别:
Standard Grant
Social Identity in Online Microfinance and Public Goods Provision
在线小额信贷和公共产品供应中的社会认同
- 批准号:
1111019 - 财政年份:2011
- 资助金额:
$ 5万 - 项目类别:
Standard Grant
Collaborative Research: School Choice and College Admissions: Theory and Experiments
合作研究:择校与大学招生:理论与实验
- 批准号:
0962492 - 财政年份:2010
- 资助金额:
$ 5万 - 项目类别:
Continuing Grant
CT-ISG: High-Speed Network Defense with Massive and Diverse Vulnerability Signatures
CT-ISG:海量多样漏洞签名的高速网络防御
- 批准号:
0831508 - 财政年份:2008
- 资助金额:
$ 5万 - 项目类别:
Standard Grant
REU Site: Incentive-Centered Design for Cyberinfrastructure
REU 网站:以激励为中心的网络基础设施设计
- 批准号:
0755147 - 财政年份:2008
- 资助金额:
$ 5万 - 项目类别:
Standard Grant