Academic literature on the topic 'Online advertising'
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Journal articles on the topic "Online advertising"
Behboudi, Mehdi, and Hamideh Mokhtari. "Online Advertising." International Journal of Innovation in the Digital Economy 8, no. 3 (July 2017): 49–64. http://dx.doi.org/10.4018/ijide.2017070104.
Full textBehboudi, Mehdi, and Amir Abedini Koshksaray. "Online Advertising." International Journal of Innovation in the Digital Economy 8, no. 4 (October 2017): 1–17. http://dx.doi.org/10.4018/ijide.2017100101.
Full textBARBU, Cristina Mihaela, Ștefan PONEA, and Cristiana Luminiţa BOGDĂNOIU. "OFFLINE ADVERTISING VERSUS ONLINE ADVERTISING." Theoretical and Practical Research in the Economic Fields 10, no. 2 (December 31, 2019): 118. http://dx.doi.org/10.14505/tpref.v10.2(20).05.
Full textHanafizadeh, Payam, Mehdi Behboudi, and Hamideh Mokhtari Hasanabad. "Online Advertising Intermediary." International Journal of Online Marketing 4, no. 1 (January 2014): 29–38. http://dx.doi.org/10.4018/ijom.2014010103.
Full textKshetri, Nir, and Jeffrey Voas. "Online Advertising Fraud." Computer 52, no. 1 (January 2019): 58–61. http://dx.doi.org/10.1109/mc.2018.2887322.
Full textLobschat, Lara, Ernst C. Osinga, and Werner J. Reinartz. "What Happens Online Stays Online? Segment-Specific Online and Offline Effects of Banner Advertisements." Journal of Marketing Research 54, no. 6 (December 2017): 901–13. http://dx.doi.org/10.1509/jmr.14.0625.
Full textKim, Jung Seek. "National Culture and Advertising Sensitivity to Business Cycles: A Reexamination." Journal of International Marketing 28, no. 4 (May 21, 2020): 41–57. http://dx.doi.org/10.1177/1069031x20923310.
Full textAnusha. "EFFECTIVENESS OF ONLINE ADVERTISING." International Journal of Research -GRANTHAALAYAH 4, no. 3SE (March 31, 2016): 14–21. http://dx.doi.org/10.29121/granthaalayah.v4.i3se.2016.2772.
Full textSridhar, Shrihari, and Srinivasaraghavan Sriram. "Is online newspaper advertising cannibalizing print advertising?" Quantitative Marketing and Economics 13, no. 4 (October 5, 2015): 283–318. http://dx.doi.org/10.1007/s11129-015-9160-3.
Full textAlfina, Alfina Damayani, and Asep Hermawan. "ANTESEDEN DARI CLICK INTENTION DALAM ONLINE BEHAVIORAL ADVERTISING DI E-COMMERCE." Jurnal Ekonomi Trisakti 3, no. 2 (September 4, 2023): 3091–102. http://dx.doi.org/10.25105/jet.v3i2.17997.
Full textDissertations / Theses on the topic "Online advertising"
Pettersson, Jimmie. "Contextual Advertising Online." Thesis, Linköping University, Department of Computer and Information Science, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-15878.
Full textThe internet advertising market is growing much faster than any other advertising vertical. The technology for serving advertising online goes more and more towards automated processes that analyze the page content and the user’s preferences and then matches the ads with these parameters.
The task at hand was to research and find methods that could be suitable for matching web documents to ads automatically, build a prototype system, make an evaluation and suggest areas for further development. The goals of the system was high throughput, accurate ad matching and fast response times. A requirement on the system was that human input could only be done when adding ads into the system for the system to be scalable.
The prototype system is based on the vector space model and a td-idf weighting scheme. The cosines coefficient was used in the system to quantify the similarity between a web document and an ad.
A technique called stemming was also implemented in the system together with a clustering solution that aided the ad matching in cases where few matches could be done on the keywords attached to the ads. The system was built with a threaded structure to improve throughput and scalability.
The tests results show that you accurately can match ads to a website’s content using the vector space model and the cosines-coefficient. The tests also show that the stemming has a positive effect on the ad matching accuracy.
Liu, Handan, and Jin Ma. "Advertising management influence effctiveness of online advertising : A study of white-collar workers in online advertising context." Thesis, Halmstad University, School of Business and Engineering (SET), 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-4868.
Full textOnline advertising which is a new form of communication provides interactivity between advertisers and consumers.
This dissertation is focusing on how advertising management influence the effectiveness of online advertising.The theoretical framework of this study mainly contains the advertising management and effectiveness of effects model.These two models are combined together in an analytical model where a connection between the two theories is explained that will be used as a foundation in gathering and analyzing the empirical findings. The quatitative research strategy is appliedd in this dissertation. Based on the questionnaies of white-collar workers, the empirical data was collected.
The conclusion which can be drawn from this study is that there is clear evidence that good management will improve cognitive,affective and conative degree of consumer behavior.
Estrada, Jiménez José Antonio. "Privacy in online advertising platforms." Doctoral thesis, Universitat Politècnica de Catalunya, 2020. http://hdl.handle.net/10803/669772.
Full textLa publicitat en línia té un paper important a Internet que permet finançar habitualment l'operació de llocs web que ofereixen contingut lliure als usuaris. A més, la personalització dels anuncis ha tornat la publicitat en línia un servei valuós per als usuaris. Si aconseguirem que hi hagi molts compradors siguin més que possibles, es promourà un negoci milionari. El model d'anuncis vigents es basa en una infraestructura completa que lliura els anuncis personalitzats. Pera això, es pot recopilar una gran quantitat de dades d'ús, agregar, processar i vendre molt ràpidament. Malauradament, aquestes pràctiques generen riscos de privadesa. Donada la complexitat de l'operació de les plataformes d'anuncis, els riscos de privacitat es poden estudiar des de diverses perspectives. Naturalment, els esforços per desenvolupar aquests problemes de privacitat es concentren en una entitat, tecnologia, comportament o context específic. Però aquest enfocament subestima els beneficis d'una perspectiva més àmplia d'un problema integral. Molts mecanismes de protecció han estat proposats des de la indústria i l’àmbit acadèmic. Els més populars apliquen estratègies radicals que obstrueixen la distribució d'anuncis, afectant seriosament l’ecosistema d'anuncis. També es pot modificar significativament l’ecosistema, el que no és factible per la seva conflictivitat. Així, amb la finalitat de fomentar l'adopció de protecció de privacitat, és fonamental plantejar solucions orientades a equilibrar les necessitats de privacitat amb el model de negocis de la web. Inicialment, la tesi ofereix una visió amplia dels riscos de privacitat i els mecanismes de protecció a ecosistema d'anuncis en línia. Això es pot aconseguir basant-se en una revisió de la infraestructura i tecnologies subjacents en aquest context. Analitza sistemàticament les amenaces i potencies atacants. A continuació es revisa exhaustivament els mecanismes de privacitat més rellevants, i es classifica i es compara segons les garanties de privacitat que s'ofereixen i el seu possible impacte a la web. Seguidament, s'estudia els riscos de privadesa derivats de les ofertes en temps real, una tecnologia clau del sistema d'anuncis en línia modern. Experimentalment, s'inverteixen els riscos del procés de distribució de dades d'ús, part del sistema basat en licitacions de la publicitat en línia. Es proposa un sistema que regula la distribució de dades d'ús a tercers, depenent del seu comportament previ. Això consisteix en reduir el nombre d’agències anunciants que rebin dades d'ús. Per mitigar l’impacte sobre els ingressos del sistema d'anuncis, aquesta reducció és malaltia i l'objectiu de maximitzar els declaracions ingressades. Experimentalment, es troba que el sistema proposat corregir els comportaments maliciosos, millorant la privacitat dels usuaris. Finalment, s'analitza l'impacte del rastre i la publicitat en línia des de la perspectiva iberoamericana. Estudiem el rastreig de tercers i allò relacionat amb els anuncis que se generen en llocs web locals en aquesta regió heterogènia. Trobem que la ubicació de l'usuari en aquest context afecta la privacitat de l'usuari ja que aquest rastreig varia de país a país, tot i que el nombre total d'entitats darrere d'aquest transit sembla estable. El tipus de contingut afecta també el nivell de rastreig: llocs web de noticies o de compres generen més transit cap a tercers i aquesta intensitat s'exacerba en els llocs més populars.
Chen, B. "Financial methods for online advertising." Thesis, University College London (University of London), 2015. http://discovery.ucl.ac.uk/1461143/.
Full textCox, Shirley A. "Online social network member attitude toward online advertising formats /." Online version of thesis, 2010. http://hdl.handle.net/1850/11588.
Full textTran, Minh-Dung. "Privacy Challenges in Online Targeted Advertising." Thesis, Grenoble, 2014. http://www.theses.fr/2014GRENM053/document.
Full textIn modern online advertising, advertisers tend to track Internet users' activities and use these tracking data to personalize ads. Even though this practice - known as extit{targeted advertising} - brings economic benefits to advertising companies, it raises serious concerns about potential abuses of users' sensitive data. While such privacy violations, if performed by trackers, are subject to be regulated by laws and audited by privacy watchdogs, the consequences of data leakage from these trackers to other entities are much more difficult to detect and control. Protecting user privacy is not easy since preventing tracking undermines the benefits of targeted advertising and consequently impedes the growth of free content and services on the Internet, which are mainly fostered by advertising revenue. While short-term measures, such as detecting and fixing privacy leakages in current systems, are necessary, there needs to be a long-term approach, such as privacy-by-design ad model, to protect user privacy by prevention rather than cure. In the first part of this thesis, we study several vulnerabilities in current advertising systems that leak user data from advertising companies to external entities. First, since targeted ads are personalized to each user, we present an attack exploiting these ads on the fly to infer user private information that have been used to select ads. Second, we investigate common ad exchange protocols, which allow companies to cooperate in serving ads to users, and show that advertising companies are leaking user private information, such as web browsing history, to multiple parties participating in the protocols. These web browsing histories are given to these entities at surprisingly low prices, reflecting the fact that user privacy is extremely underestimated by the advertising industry.In the second part of the thesis, we propose a privacy-by-design targeted advertising model which allows personalizing ads to users without the necessity of tracking. This model is specifically aimed for the two newly emerging ad technologies - retargeting advertising and ad exchange. We show that this model provides strong protection for user privacy while still ensuring ad targeting performance and being practically deployable
Lam, Wai-man. "Online advertising : why or why not ?" HKBU Institutional Repository, 2005. http://repository.hkbu.edu.hk/etd_ra/683.
Full textHemphoom, Sunisa, and Karina Konrádi. "Reconnect with readers : Does native advertising affect customer’s attitude towards online advertising?" Thesis, Internationella Handelshögskolan, Jönköping University, IHH, Företagsekonomi, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-49261.
Full textYuan, S. "Supply side optimisation in online display advertising." Thesis, University College London (University of London), 2015. http://discovery.ucl.ac.uk/1463229/.
Full textArkhipov, Dmitri I. "Computational Models for Scheduling in Online Advertising." Thesis, University of California, Irvine, 2016. http://pqdtopen.proquest.com/#viewpdf?dispub=10168557.
Full textProgrammatic advertising is an actively developing industry and research area. Some of the research in this area concerns the development of optimal or approximately optimal contracts and policies between publishers, advertisers and intermediaries such as ad networks and ad exchanges. Both the development of contracts and the construction of policies governing their implementation are difficult challenges, and different models take different features of the problem into account. In programmatic advertising decisions are made in real time, and time is a scarce resource particularly for publishers who are concerned with content load times. Policies for advertisement placement must execute very quickly once content is requested; this requires policies to either be pre-computed and accessed as needed, or for the policy execution to be very efficient. We formulate a stochastic optimization problem for per publisher ad sequencing with binding latency constraints. Within our context an ad request lifecycle is modeled as a sequence of one by one solicitations (OBOS) subprocesses/lifecycle stages. From the viewpoint of a supply side platform (SSP) (an entity acting in proxy for a collection of publishers), the duration/span of a given lifecycle stage/subprocess is a stochastic variable. This stochasticity is due both to the stochasticity inherent in Internet delay times, and the lack of information regarding the decision processes of independent entities. In our work we model the problem facing the SSP, namely the problem of optimally or near-optimally choosing the next lifecycle stage of a given ad request lifecycle at any given time. We solve this problem to optimality (subject to the granularity of time) using a classic application of Richard Bellman's dynamic programming approach to the 0/1 Knapsack Problem. The DP approach does not scale to a large number of lifecycle stages/subprocesses so a sub-optimal approach is needed. We use our DP formulation to derive a focused real time dynamic programming (FRTDP) implementation, a heuristic method with optimality guarantees for solving our problem. We empirically evaluate (through simulation) the performance of our FRTDP implementation relative to both the DP implementation (for tractable instances) and to several alternative heuristics for intractable instances. Finally, we make the case that our work is usefully applicable to problems outside the domain of online advertising.
Books on the topic "Online advertising"
Zhu, Xingquan, Haicheng Tao, Zhiang Wu, Jie Cao, Kristopher Kalish, and Jeremy Kayne. Fraud Prevention in Online Digital Advertising. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-56793-8.
Full textZhu, Xingquan. Fraud Prevention in Online Digital Advertising. Cham: Springer International Publishing, 2017.
Find full textHua, Xian-Sheng. Online multimedia advertising: Techniques and technologies. Hershey, PA: Information Science Reference, 2011.
Find full textMiller, Michael. Online marketing heroes: Interviews with 25 successful online marketing gurus. Indianapolis, IN: Wiley Technology Pub, 2009.
Find full textOrganisation for Economic Co-operation and Development. Directorate for Science, Technology, and Industry. and Organisation for Economic Co-operation and Development. Committee on Consumer Policy., eds. Online advertising and marketing directed toward children. Paris: OECD, 1999.
Find full textMeyerson, Mitch. Mastering online marketing. [Irvine, CA]: Entrepreneur Press, 2008.
Find full text1983-, Behboudi Mehdi, ed. Online advertising and promotion: Modern technologies for marketing. Hershey, PA: Business Science Reference, 2012.
Find full textMühling, Johannes. Targeting: Zielgruppen exakt online erreichen. München: Verlag Reinhard Fischer, 2007.
Find full textBook chapters on the topic "Online advertising"
East, Robert. "Online Advertising." In The Effect of Advertising and Display, 85–91. Boston, MA: Springer US, 2003. http://dx.doi.org/10.1007/978-0-387-23377-2_6.
Full textCharlesworth, Alan. "Advertising online." In Digital Marketing, 197–237. 3rd edition. | Abingdon, Oxon ; New York, NY : Routledge, 2018.: Routledge, 2018. http://dx.doi.org/10.4324/9781315175737-7.
Full textCharlesworth, Alan. "Advertising online." In Absolute Essentials of Digital Marketing, 55–68. New York : Routledge, 2020. | Series: Absolute essentials of business and economics: Routledge, 2020. http://dx.doi.org/10.4324/9781003015789-6.
Full textSpurgeon, Christina. "Online Advertising." In The Routledge Companion to Global Internet Histories, 387–98. New York: Routledge, Taylor & Francis Group, 2017. |: Routledge, 2017. http://dx.doi.org/10.4324/9781315748962-27.
Full textCharlesworth, Alan. "Advertising online." In Digital Marketing, 195–237. 4th ed. London: Routledge, 2022. http://dx.doi.org/10.4324/9781003147411-8.
Full textWiktor, Jan W., and Katarzyna Sanak-Kosmowska. "Online advertising." In Information Asymmetry in Online Advertising, 3–32. London: Routledge, 2021. http://dx.doi.org/10.4324/9781003134121-2.
Full textStrekalova, Yulia A. "Online Advertising." In Encyclopedia of Big Data, 703–7. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-319-32010-6_152.
Full textStrekalova, Yulia A. "Online Advertising." In Encyclopedia of Big Data, 1–5. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-32001-4_152-1.
Full textLammenett, Erwin. "Keyword-Advertising." In Praxiswissen Online-Marketing, 87–125. Wiesbaden: Gabler, 2009. http://dx.doi.org/10.1007/978-3-8349-8251-3_4.
Full textLammenett, Erwin. "Keyword-Advertising (SEA)." In Praxiswissen Online-Marketing, 141–75. Wiesbaden: Springer Fachmedien Wiesbaden, 2017. http://dx.doi.org/10.1007/978-3-658-15494-3_5.
Full textConference papers on the topic "Online advertising"
Müller, Lea. "Transforming Online Advertising." In SIGMIS-CPR '18: 2018 Computers and People Research Conference. New York, NY, USA: ACM, 2018. http://dx.doi.org/10.1145/3209626.3209632.
Full textBhumgara, Afreen. "Online mobile targeted advertising." In 2015 IEEE International Conference on Computational Intelligence and Computing Research (ICCIC). IEEE, 2015. http://dx.doi.org/10.1109/iccic.2015.7435684.
Full textGhosh, Arpita, and Mohammad Mahdian. "Externalities in online advertising." In Proceeding of the 17th international conference. New York, New York, USA: ACM Press, 2008. http://dx.doi.org/10.1145/1367497.1367520.
Full textTurkel, Eray. "Regulating Online Political Advertising." In WWW '22: The ACM Web Conference 2022. New York, NY, USA: ACM, 2022. http://dx.doi.org/10.1145/3485447.3512253.
Full textLiu, Dapeng, Shaochun Xu, Lichao Chen, and Chunning Wang. "Some observations on online advertising: A new advertising system." In 2015 IEEE/ACIS 14th International Conference on Computer and Information Science (ICIS). IEEE, 2015. http://dx.doi.org/10.1109/icis.2015.7166625.
Full textDrobiashchenko, Vitalii Alekseevich, and Sergei Igorevich Moroz. "Ensuring the Competitiveness in the Advertising Industry by Means of Strategic Management." In International extramural online conference, chair Leonid Evgenevich Popok. TSNS Interaktiv Plus, 2020. http://dx.doi.org/10.21661/r-551524.
Full textBateni, MohammadHossein, Jon Feldman, Vahab Mirrokni, and Sam Chiu-wai Wong. "Multiplicative bidding in online advertising." In EC '14: ACM Conference on Economics and Computation. New York, NY, USA: ACM, 2014. http://dx.doi.org/10.1145/2600057.2602874.
Full textDavidavičienė, Vida. "Effectiveness Factors of Online Advertising." In The 7th International Scientific Conference "Business and Management 2012". Vilnius, Lithuania: Vilnius Gediminas Technical University Publishing House Technika, 2012. http://dx.doi.org/10.3846/bm.2012.106.
Full textSueiras, Jorge, Fausto Morales, and Juan-Carlos Ibanez. "From TV to online advertising." In the 1st international workshop. New York, New York, USA: ACM Press, 2007. http://dx.doi.org/10.1145/1348599.1348609.
Full textHuang, Cheng, Jianbing Ni, Rongxing Lu, and Xuemin Sherman Shen. "Online Advertising with Verifiable Fairness." In ICC 2019 - 2019 IEEE International Conference on Communications (ICC). IEEE, 2019. http://dx.doi.org/10.1109/icc.2019.8761762.
Full textReports on the topic "Online advertising"
Davies, Jonathan, and Lydia Harriss. Online Advertising Technology and Competition. Parliamentary Office of Science and Technology, UK Parliament, October 2023. http://dx.doi.org/10.58248/pn705.
Full textChesnes, Matthew, and Ginger Zhe Jin. Direct-to-Consumer Advertising and Online Search. Cambridge, MA: National Bureau of Economic Research, August 2016. http://dx.doi.org/10.3386/w22582.
Full textGrow, André, Daniela Perrotta, Emanuele Del Fava, Jorge Cimentada, Francesco Rampazzo, Beatriz Sofía Gil-Clavel, Emilio Zagheni, René D. Flores, Ilana Ventura, and Ingmar G. Weber. How reliable is Facebook’s advertising data for use in social science research? Insights from a cross-national online survey. Rostock: Max Planck Institute for Demographic Research, April 2021. http://dx.doi.org/10.4054/mpidr-wp-2021-006.
Full textSTROYKOV, S., and I. NIKITINA. THE CURRENT STATE OF THE PROBLEM OF HYPERTEXT IN LINGUISTIC LITERATURE. Science and Innovation Center Publishing House, 2022. http://dx.doi.org/10.12731/2077-1770-2022-14-2-3-50-73.
Full textTARAKANOVA, V., A. ROMANENKO, and T. TROITSKAYA. FACTORS AND RISKS OF ENVIRONMENTAL SAFETY OF THE CITIES OF THE MOSCOW REGION. Science and Innovation Center Publishing House, 2022. http://dx.doi.org/10.12731/2077-1770-2022-14-2-2-19-29.
Full textHotsur, Oksana. SOCIAL NETWORKS AND BLOGS AS TOOLS PR-CAMPAIGN IMPLEMENTATIONS. Ivan Franko National University of Lviv, March 2021. http://dx.doi.org/10.30970/vjo.2021.50.11110.
Full textTaking the biscuit: how Safari privacy policies affect online advertising. Cemmap, February 2023. http://dx.doi.org/10.47004/wp.cem.2023.0423.
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