Currently, the network traffic control systems are mainly composed of the Internet core and
wired/wireless heterogeneous backbone networks. Recently, these packet-switched …

Predicting the probability that a user will click on a specific advertisement has been a
prevalent issue in online advertising, attracting much research attention in the past decades …

We consider the problem of estimating rates of rare events for high dimensional, multivariate
categorical data where several dimensions are hierarchical. Such problems are routine in …

Understanding the intent underlying users' queries may help personalize search results and
improve user satisfaction. In this paper, we develop a methodology for using ad clickthrough …

We propose a robust classifier to predict buying intentions based on user behaviour within a
large e-commerce website. In this work we compare traditional machine learning techniques …

We describe a new approach to solving the click-through rate (CTR) prediction problem in
sponsored search by means of MatrixNet, the proprietary implementation of boosted trees …

Sponsored search has been proven to be a successful business model, and sponsored
search auctions have become a hot research direction. There have been many exciting …

In this research, we propose a methodology for advert value calculation in CPM, CPC and
CPA networks. Accurately estimating this value increases the three previous networks' …

Computational Advertising, popularly known as online advertising or Web advertising, refers
to finding the most relevant ads matching a particular context on the Web. The context …

5 tic features may also be called “object” features (eg, features of an object depicted in an
image). Image Segmentation Before computing photographic and semantic features from an …