Contextual Advertising

2011 ◽  
pp. 226-226
Author(s):  
Thomas R. Shultz ◽  
Scott E. Fahlman ◽  
Susan Craw ◽  
Periklis Andritsos ◽  
Panayiotis Tsaparas ◽  
...  
Keyword(s):  
Contextual Advertising

Can We Think Without Categories?

2018 ◽  
Vol 4 (1) ◽  
pp. 17-28
Author(s):  
Lev Manovich
Keyword(s):  
Machine Learning ◽  
Complex Analysis ◽  
Analytical Data ◽  
Supervised Machine Learning ◽  
Digital Culture ◽  
New Concepts ◽  
Contextual Advertising ◽  
Procedural Components ◽  
19Th And 20Th Century ◽  
Cultural Data

Abstract In this article methods developed for the purpose of what I call “Media Analytics” are contextualized, put into a historical framework and discussed in regard to their relevance for “Cultural Analytics”. Largescale analysis of media and interactions enable NGOs, small and big businesses, scientific research and civic media to create insight and information on various cultural phenomena. They provide quantitative analytical data about aspects of digital culture and are instrumental in designing procedural components for digital applications such as search, recommendations, and contextual advertising. A survey on key texts and propositions from 1830 on until the present sketches the development of “Data Society’s Mind”. I propose that even though Cultural Analytics research uses dozens of algorithms, behind them there is a small number of fundamental paradigms. We can think them as types of data society’s and AI society’s cognition. The three most general paradigmatic approaches are data visualization, unsupervised machine learning, and supervised machine learning. I will discuss important challenges for Cultural Analytics research. Now that we have very large cultural data available, and our computers can do complex analysis quite quickly, how shall we look at culture? Do we only use computational methods to provide better answers to questions already established in the 19th and 20th century humanities paradigms, or do these methods allow fundamentally different new concepts?

scholarly journals THE IMPACT OF CONTEXTUAL MOBILE ADVERTISING ON CONSUMER PURCHASE INTENTION

2021 ◽  
Author(s):  
SONG-SONG ZHAO
Keyword(s):  
Purchase Intention ◽  
Past Research ◽  
Advertising Effectiveness ◽  
Mobile Advertising ◽  
Purchasing Intention ◽  
Development Direction ◽  
Contextual Advertising ◽  
Consumer Purchase Intention ◽  
The Impact ◽  
Practical Implications

Contextual mobile advertising, which has the advantages of strong interactivity and immersive experience, will be the development direction of Internet advertising in the future. Although past research has explored the effects of contextual mobile advertising, little research has studied the effect on consumers’ behavior from the perspective of contextual advertising traits. Thus, this study combined the Scene Theory and the Theory of Planned Behavior to construct the model of advertising effectiveness mechanism. By analyzing survey data from a representative sample of 340 mobile consumers, the validity of the model was proved. The results showed that contextual stimulation, contextual interaction, and content accuracy, as contextual factors in mobile advertising, can positively influence consumers’ attitudes toward mobile advertising, which in turn stimulate purchasing intention. The theoretical and practical implications of these findings were also discussed.

Internet marketing as a tool for promoting market services in the hospitality and hotel industry

2021 ◽  
pp. 4-11
Author(s):  
L.E. Glagoleva ◽  
N.P. Zatsepilina ◽  
E.N. Kovaleva ◽  
L.S. Zatsepilina ◽  
A.B. Sandberg ◽  
...  
Keyword(s):  
Conversion Rate ◽  
Hospitality Industry ◽  
Hotel Industry ◽  
Internet Marketing ◽  
User Interest ◽  
Contextual Advertising ◽  
Effective Use ◽  
Use Of Internet

The article reveals the possibilities of effective use of Internet marketing as a tool to improve the efficiency of market services in the field of hospitality and hotel business. The ways of increasing user interest in Internet projects of enterprises in the hospitality industry and raising the conversion rate of an Internet project through contextual advertising and other ways to boost traffic are considered.

Intelligent Techniques in Recommender Systems and Contextual Advertising

2013 ◽  
pp. 105-128 ◽  
Author(s):  
Giuliano Armano ◽  
Alessandro Giuliani ◽  
Eloisa Vargiu
Keyword(s):  
Recommender System ◽  
Information Filtering ◽  
Relevant Information ◽  
Web Page ◽  
Contextual Advertising ◽  
Generic Hybrid ◽  
Unified View ◽  
Hybrid Recommender System ◽  
Hybrid Recommender ◽  
The Web

Information Filtering deals with the problem of selecting relevant information for a given user, according to her/his preferences and interests. In this chapter, the authors consider two ways of performing information filtering: recommendation and contextual advertising. In particular, they study and analyze them according to a unified view. In fact, the task of suggesting an advertisement to a Web page can be viewed as the task of recommending an item (the advertisement) to a user (the Web page), and vice versa. Starting from this insight, the authors propose a content-based recommender system based on a generic solution for contextual advertising and a hybrid contextual advertising system based on a generic hybrid recommender system. Relevant case studies have been considered (i.e., a photo recommender and a Web advertiser) with the goal of highlighting how the proposed approach works in practice. In both cases, results confirm the effectiveness of the proposed solutions.

Towards Real Time Contextual Advertising

2014 ◽  
pp. 445-459 ◽  
Author(s):  
Abhimanyu Panwar ◽  
Iosif-Viorel Onut ◽  
James Miller
Keyword(s):  
Real Time ◽  
Contextual Advertising
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