Search results for "Contextual advertising"
showing 3 items of 3 documents
Advertising Peer-To-Peer Networks over the Internet
2002
Weber, Matthieu Advertising Peer-to-Peer Networks over the Internet Jyvaskyla: University of Jyvaskyla, 2006, 120 p. (Jyvaskyla Licentiate Theses in Computing ISSN 1795-9713; 7) ISBN 951-39-2329-0 Finnish summary Most peer-to-peer networks nowadays are decentralized or even fully distributed, meaning that they do not require a central authority for proper operation. Joining such networks is however often performed by using a central directory of its members, thus breaking their decentralized characteristic. This work proposes an advertisement system for peer-to-peer networks that does not rely on a central service, nor requires any dedicated infrastructure to be setup, using only already ex…
Digital advertising around paid spaces, e-advertising industry’s revenue engine : A review and research agenda
2017
We develop and describe a framework for research in a particular segment of digital advertising. Internet Advertising Paid Slots and Spaces (IAPS) is a neologism and work almost like a stock exchange for buying and selling advertising in various formats on designated spaces around web and make a significant contribution to Internet advertising revenues. These paid spaces were found to encompass diverse areas of Internet advertising that include search engine marketing, social media advertising and display advertising. Given the complexity of the modern digital advertising eco system, this literature review seeks to provide clarity, up-to-date knowledge and ongoing insights into Internet adv…
Context-sensitive text mining with fitness leveling Genetic Algorithm
2015
Contextual processing is a great challenge for information retrieval study - the most approved techniques include scanning content of HTML web pages, user supported metadata analysis, automatic inference grounded on knowledge base, or content-oriented digital documents analysis. We propose a meta-heuristic by making use of Genetic Algorithms for Contextual Search (GACS) built on genetic programming (GP) and custom fitness leveling function to optimize contextual queries in exact search that represents unstructured phrases generated by the user. Our findings show that the queries built with GACS can significantly optimize the retrieval process.