This document describes a system where advertisers do not need to create multiple variations of an advertisement for targeting different sets of users. The system includes utilizing machine learning algorithms to generate a dedicated model to generalize user interests (e.g., as opposed to a rule based approach). The machine learning algorithms and model can be applied to a large scale of users to provide coverage on personalized advertisements. As the advertisement is generated at query time, additional storage is not needed in the backend
Online advertising networks utilize prediction models to determine the likelihood of an advertisemen...
Advertisement identification and filtering in web pages gain significance due to various factors suc...
International audiencePersonalization is the new magic buzzword of application development. To make ...
This work conducts a systematic literature review about the domain of personalized advertisement, an...
Generally, the present disclosure is directed to using machine learning to predict advertisement tar...
A data processing system can generate associations between user interests and target users based on ...
A system and method are disclosed that enhance an ad by appending high quality text from other ads w...
A system and method for adapting the content of an ad-based on a user\u27s communication style is di...
The present paper discusses a system for providing advertisements or content to users that answers t...
A system and method are disclosed that leverages high quality information present in ads of a partic...
Advertising is omnipresent in all countries around the world and has a strong influence on consumer ...
Web advertising is one of the major sources of income for numerous search engines, news sites and no...
A brand advertisement system targets brand advertisements in a content feed. The brand advertisement...
Personal data and information collected online by companies can be used to design and personalise ad...
This paper presents a detailed discussion of problem formulation and data representation issues in t...
Online advertising networks utilize prediction models to determine the likelihood of an advertisemen...
Advertisement identification and filtering in web pages gain significance due to various factors suc...
International audiencePersonalization is the new magic buzzword of application development. To make ...
This work conducts a systematic literature review about the domain of personalized advertisement, an...
Generally, the present disclosure is directed to using machine learning to predict advertisement tar...
A data processing system can generate associations between user interests and target users based on ...
A system and method are disclosed that enhance an ad by appending high quality text from other ads w...
A system and method for adapting the content of an ad-based on a user\u27s communication style is di...
The present paper discusses a system for providing advertisements or content to users that answers t...
A system and method are disclosed that leverages high quality information present in ads of a partic...
Advertising is omnipresent in all countries around the world and has a strong influence on consumer ...
Web advertising is one of the major sources of income for numerous search engines, news sites and no...
A brand advertisement system targets brand advertisements in a content feed. The brand advertisement...
Personal data and information collected online by companies can be used to design and personalise ad...
This paper presents a detailed discussion of problem formulation and data representation issues in t...
Online advertising networks utilize prediction models to determine the likelihood of an advertisemen...
Advertisement identification and filtering in web pages gain significance due to various factors suc...
International audiencePersonalization is the new magic buzzword of application development. To make ...