User response prediction in online advertising
Z Gharibshah, X Zhu - aCM Computing Surveys (CSUR), 2021 - dl.acm.org
Online advertising, as a vast market, has gained significant attention in various platforms
ranging from search engines, third-party websites, social media, and mobile apps. The …
ranging from search engines, third-party websites, social media, and mobile apps. The …
Simple and scalable response prediction for display advertising
O Chapelle, E Manavoglu, R Rosales - ACM Transactions on Intelligent …, 2014 - dl.acm.org
Clickthrough and conversation rates estimation are two core predictions tasks in display
advertising. We present in this article a machine learning framework based on logistic …
advertising. We present in this article a machine learning framework based on logistic …
A large scale prediction engine for app install clicks and conversions
Predicting the probability of users clicking on app install ads and installing those apps
comes with its own specific challenges. In this paper, we describe (a) how we built a …
comes with its own specific challenges. In this paper, we describe (a) how we built a …
On building decision trees from large-scale data in applications of on-line advertising
S Kalyanakrishnan, D Singh, R Kant - Proceedings of the 23rd ACM …, 2014 - dl.acm.org
Decision trees have been used for several decades as simple and effective solutions to
supervised learning problems. Their success extends to tasks across a variety of areas. Yet …
supervised learning problems. Their success extends to tasks across a variety of areas. Yet …
[PDF][PDF] Simple and scalable response prediction for display advertising
E MANAVOGLU, R ROSALES - people.csail.mit.edu
Clickthrough and conversation rates estimation are two core predictions tasks in display
advertising. We present in this paper a machine learning framework based on logistic …
advertising. We present in this paper a machine learning framework based on logistic …