Statistical techniques for online personalized advertising

Maad Shatnawi, Nader Mohamed
<span title="">2012</span> <i title="ACM Press"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/uo6yx5jpgnf2zl7mkrumytd4ti" style="color: black;">Proceedings of the 27th Annual ACM Symposium on Applied Computing - SAC &#39;12</a> </i> &nbsp;
Online advertising is the major source of revenue for most web service providers. Displaying advertisements that match user interests will not only lead to user satisfaction, but it will also maximize the revenues of both advertisers and web publishers. Online Advertisement systems use web mining and machine learning techniques to personalize advertisement selection to a particular user based on certain features such as his browsing behavior or demographic data. This paper presents an overview
more &raquo; ... f online advertisement selection and summarizes the main technical challenges and open issues in this field. The paper investigates most of the relevant existing approaches carried out towards this perspective and provides a comparison and classification of these approaches.
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/2245276.2245406">doi:10.1145/2245276.2245406</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/sac/ShatnawiM12.html">dblp:conf/sac/ShatnawiM12</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/d5dwrezjqrcpfjn6xzoxx3ljoe">fatcat:d5dwrezjqrcpfjn6xzoxx3ljoe</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170810233625/http://faculty.uaeu.ac.ae/Nader_M/papers/SAC2012.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/41/d8/41d8d690df0485aa75224bf9f3b18dca9d5cd62e.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/2245276.2245406"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> acm.org </button> </a>