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Forecasting User Visits for Online Display Advertising

Forecasting User Visits for Online Display Advertising

Keywords Forecasting User Visits Display Advertising 1 Introduction Online advertising is one of the most pro table business models for Internet ser-vices. According to the Interactive Advertising Bureau (IAB), the total annual revenue of internet advertising in 2010 reaches a record level of $26 billion dollars, growing %15 from the previous year (IAB and PricewaterhouseCoopers, 2011). IAB ...

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Forecasting counts of user visits for online display ...

Forecasting counts of user visits for online display ...

Forecasting the number of user visits is an important task for display advertising. Difierent Web pages have difierent user visit trends, and it is important to learn specialized fore-casting models for properties with difierent user visit trends. This paper proposes a probabilistic latent class model that identifles the latent classes for Web pages with similar user visit trends, and ...

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Forecasting London Museum Visitors Using Google Trends Data

Forecasting London Museum Visitors Using Google Trends Data

User online search patterns are a well-known tool for forecasting pre-trip consumer behaviour, such as hotel demand and international tourist arrivals. However, the potential of search engine data for estimating the demand for tourist attractions, which is created both before and during a trip, remains underexplored. This research note investigates the relationships between Google search ...

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User Location Forecasting at Points of Interest

User Location Forecasting at Points of Interest

Location forecasting, user mobility, Internet user connec-tions. Categories and Subject Descriptors G.3 [Mathematics of Computing]: Markov processes; C.2.1 [Computer-communication networks]: General General Terms Algorithms, Experimentation, Theory. 1. INTRODUCTION Many everyday tasks depend on deploying resources accord-ing to the number of users at a given time in a given location. A quick ...

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INTERNATIONAL JOURNAL OF SCIENTIFIC & TECHNOLOGY RESEARCH ...

INTERNATIONAL JOURNAL OF SCIENTIFIC & TECHNOLOGY RESEARCH ...

including Google Analytic doesn't support forecasting features. They are focused on analysing user behaviours on the web sites and log related results. So the solution going to be developed from this research is targeted on web site owners and administrators to assist the future predictions of web site visits on their marketing strategies. For ...

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FORECASTING THE NUMBER OF FOREIGN TOURISTS WHO VISIT TO ...

FORECASTING THE NUMBER OF FOREIGN TOURISTS WHO VISIT TO ...

the user / admin, then inputting the data to be predicted. The next stage of Monte Carlo calculations input many months and the number of simulations then calculates the delta-t (t) variable, deviation (s), sigma (), Mu (µ). So as to produce forecasting the number of visits. Then calculate errors using MSE and MAPE. Start Login Input Simulation Number of Travelers, and parameter MSE & MAPE ...

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Models to Predict Visitor Attendance Levels and the ...

Models to Predict Visitor Attendance Levels and the ...

visits, peak days, minimum and average number of visitors per day, number of visitors using various entrance points, choice of direction at the intersection of paths.-Linking of temporal and spatial data: for example, number of visitors at a certain entrance point at a certain time.-Quantification of specific user groups and

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LiJAR: A System for Job Application Redistribution towards ...

LiJAR: A System for Job Application Redistribution towards ...

forecasting model to estimate the expected number of applications at the job expiration date (§3), and algorithms to either promote or penalize jobs based on the output of the forecasting model in real time (§4). We then describe the design and architecture for LiJAR, LinkedIn’s Job Applications Forecasting and Redistribution system, which we have implemented and deployed in production ...

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Stanford CS Theory

Stanford CS Theory

Created Date: 4/5/2010 1:59:36 PM

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Forecasting Public Transit Use by Crowdsensing and ...

Forecasting Public Transit Use by Crowdsensing and ...

Forecasting Public Transit Use by Crowdsensing and Semantic Trajectory Mining: Case Studies Ningyu Zhang, Huajun Chen *, Xi Chen and Jiaoyan Chen Computer Science and Technology Institute, Zhejiang University, 38 Zheda Road, Hangzhou 310058, China; [email protected] (N.Z.); [email protected] (X.C.); [email protected] (J.C.) * Correspondence: [email protected] Academic Editors ...

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Viewability Prediction for Online Display Ads

Viewability Prediction for Online Display Ads

ability that a user scrolls to a page depth where an ad may be placed, thus the ad can be in-view. To the best of our knowledge, this is the rst work that tries to address viewa-bility prediction. Scroll depth viewability prediction is challenging. First, most users visit only several webpages on a website. It is challenging to detect user interests based on such a sparse history of user-page ...

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