点击预测学习有效的广告

Shreyas Patil, Kaustubh Raut, P. Palsodkar, Taranjyot Singh, Yogita K. Dubey, Roshan Umate
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引用次数: 0

摘要

为了推销产品或服务,可以通过广告来接触顾客。广告可以定义为一套促销技术,通过影响目标消费者的购买决策来提高产品的盈利能力。广告的起源可以追溯到古埃及、希腊和罗马。在当代世界,广告被用来影响人们,以促进特定产品或服务的销售,以实现利润最大化。近年来,Facebook等社交网站的发展使得买卖双方的互动更加便利。本文旨在开发一个基于机器学习的模型来执行点击率(CTR)和广告点击(AdC)预测。结果可以用来设计有效和高效的广告活动和业务。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Click Prediction Learning for Effective Advertising
For promoting a product or service, customers can be reached through advertising. Advertising can be defined as a set of promotional techniques used to enhance a product’s profitability by influencing the buying decisions of the target consumers. Roots of Advertising can be traced back to ancient Egypt, Greece and Rome. In the contemporary world, advertising is used to influence people so as to promote sales of a particular product or a service with a view to maximize profits. In the recent times, the growth of Social Networking sites such as Facebook has led to an increase in the ease of seller-buyer interactions. This paper aims to develop a machine learning based model to perform Click Through Rate (CTR) and Ad-Click (AdC) prediction. The results can be used to design effective and efficient advertising campaigns and operations.
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