Готові списки джерел за темами / Advertisement selection

Добірка наукової літератури з теми "Advertisement selection"

Автор: Grafiati
Опубліковано: 30 травня 2022
Оновлено: 31 травня 2022

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Статті в журналах з теми "Advertisement selection"

1

Shahu, Krishna. "Effectiveness of the Advertisement through Television." Batuk 6, no. 2 (July 1, 2020): 7–15. http://dx.doi.org/10.3126/batuk.v6i2.34487.

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Анотація:
Television advertisement has become a permanent means of delivering product and service messages to all upper and middle class households. The study aims at examining effectiveness of TV advertisement. Online survey with structured questionnaire was conducted through the various social media. Sample sizes of 150 people are selected for the study by using random sampling method to collect the data to avoid biasness in the selection process. The study found that the people are more attracted toward the use of internet. Most people tend to spend less time watching television and more time on internet and other activities. It is concluded that there is lack of effectiveness of television advertisements in modern era.
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2

Magesh, S., and S. Vijayalakshmi. "Purchaser's Optimistic Response to Social Media Advertisements—A Data Mining Approach." Journal of Computational and Theoretical Nanoscience 16, no. 2 (February 1, 2019): 664–68. http://dx.doi.org/10.1166/jctn.2019.7787.

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The paper aspires at discovering the most indispensable factors persuading customer reactions and purchasing commodities after observing online advertisements of social media and recognizing the distinctiveness of clusters of Purchaser having the optimistic reaction, over and above of buying customer clusters after analyzing online advertisement in social media. The selection of attribute and clustering techniques are incorporated in the analysis of data to find significant factors and target customer clusters correspondingly through data mining approach. It has been identifies that there is a strapping correlation between the advertisement being clicked on social media and the fulfillment with commodities, and amidst purchasing commodities online and saving information for supplementary deliberations. The findings also points out the characteristics of product and price Conscious clusters for Purchasers' reaction and procuring after seeing online social media advertisement.
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3

Manik, Prerna, Anshu Gupta, P. C. Jha, and Kannan Govindan. "A Goal Programming Model for Selection and Scheduling of Advertisements on Online News Media." Asia-Pacific Journal of Operational Research 33, no. 02 (April 2016): 1650012. http://dx.doi.org/10.1142/s0217595916500123.

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Анотація:
Digital revolution has resulted in a paradigm shift in the field of marketing with online advertising becoming increasingly popular as it offers the reach, range, scale and interactivity to organizations to influence their target customers. Moreover, web advertisement is the primary revenue stream for several websites that provide free services to internet users. The website management team needs to do a lot of planning and optimally schedule various advertisements (ads) to maximize revenue, taking care of advertisers’ needs under system constraints. In this paper, we have considered the case of news websites that provide news to its viewers for free with ads as the primary source of their revenue. The considered news website consists of many webpages with different banners for advertisement. Each banner consists of different number of partitions and cost per partition varies for different rectangular banners. Many ads compete with each other for their placement on a webpage on a specific banner, based on partition requirement, at specific time interval(s). Here, we have formulated a mixed integer 0–1 linear programming advertisement scheduling problem to maximize the revenue over planning horizon divided into time intervals under various system and technical constraints. A case is presented to show the applicability of the model. Branch and bound integer programming and goal programming techniques have been used to solve the formulated problem.
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4

Faisal, Mohd Nishat, and Bilal Mustafa Khan. "Selecting an Advertising Agency: A Multi-Criteria Decision Making Approach." Vision: The Journal of Business Perspective 12, no. 4 (October 2008): 13–22. http://dx.doi.org/10.1177/097226290801200402.

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Анотація:
Indian economy is evolving day by day, and with an upswing spending power of its inhabitants advertising has been emerging as one of the most effective tools for the companies to reach out to their customers. Best advertisement agencies create value through giving the product personality, developing an understanding of product/service, creating an image or memorable picture of that product and above all trying to distinguish the product apart from its competitors. Today, advertising budgets of companies are rising and thus there are numerous agencies in the market vying for their shares. But there exists no method, which can take into account numerous criterions and their impact simultaneously under consideration while selecting a best advertisement agency. Selecting an advertisement agency is a multiple criteria decision-making (MCDM) problem that requires considering large number of complex factors as multiple evaluation criteria. A robust MCDM method should consider the interactions among criteria. Analytic network process (ANP) is a relatively new MCDM method which can deal with all kinds of interactions systematically. This paper proposes an ANP based methodology for the selection of advertisement agencies. ANP is capable of measuring the relative importance that captures all indirect interactions in a network required to be considered in an advertisement agency selection and also their interactions. Additionally, the proposed model is evaluated for a case company.
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5

Ilicic, Jasmina, Stacey M. Baxter, and Alicia Kulczynski. "Spot the difference: examining facial characteristics that enhance spokesperson effectiveness." European Journal of Marketing 52, no. 1/2 (February 12, 2018): 348–66. http://dx.doi.org/10.1108/ejm-03-2017-0226.

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Анотація:
Purpose This research aims to examine the effect of spokesperson facial symmetry on advertisement attitude, brand attitude and purchase intention and the mediating role of source authenticity on attitudinal and behavioral judgments. Design/methodology/approach Two studies were undertaken. Study 1 examined the effect of facial symmetry on source authenticity and endorsement effectiveness. Study 2 investigated the influence of the authentic facial cues of freckles and moles on source authenticity and advertisement attitude, brand attitude and purchase intention. Findings Findings indicate that source authenticity is the mechanism that explains attitudinal and behavioral judgments toward advertisements featuring asymmetrical spokespeople. The phenomenon observed is due to a proposed source authenticity overgeneralization effect, whereby spokespeople with asymmetrical faces are perceived as more genuine and real which, subsequently, results in more positive attitude toward the advertisement, attitude toward the brand and greater purchase intention than advertisements featuring spokespeople with symmetrical faces. The addition of authentic (biological) facial cues (i.e. freckles and moles) on spokespeople with a symmetrical facial structure, however, can heighten perceptions of source authenticity and the manifestation of the source authenticity overgeneralization effect. Research limitations/implications This research has implications for marketing managers in the selection and depiction of spokespeople in their advertisements. However, this research is limited, as it only examines the facial feature characteristics of symmetry, freckles, and moles. Originality/value This research shows that an asymmetrical facial structure can positively influence source, attitudinal and behavioral judgments. This research also identifies that although symmetrical facial structures dilute source- and endorsement-based judgments, the addition of authentic facial cues, freckles and moles, can reverse the negative effects and enhance perceptions of source authenticity, attitude toward the advertisement, attitude toward the brand and purchase intentions.
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6

Lee, Yueh-Hua, Feng-Yi Wu, and Chung-Chu Chuang. "Application of TOPSIS for Solving Optimal Brand Communication Effect on the Portal." International Journal of Web Portals 5, no. 3 (July 2013): 40–52. http://dx.doi.org/10.4018/ijwp.2013070103.

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Анотація:
Based on the cognitive psychology of selective attention and priming effect, and visual display effect, this research aims to explore how banner advertisements in the portal sites affect brand communication after end user enter the web. This study uses online SSI Web questionnaire and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method. The prime age group selection considers the brand communication effect simultaneously from involvement, advertising attitude, purchase intention and attractiveness of advertisement content. Finally, TOPSIS are presented as an empirical example in brand communication effect on the web portal. The result indicates that the advertising through portal site has optimal brand communication effect on age between 20 to 29 years. The results can help business to make efficient decision. Managerial issues and future work of this paper are discussed.
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7

Cui, Qing, Feng-Shan Bai, Bin Gao, and Tie-Yan Liu. "Global Optimization for Advertisement Selection in Sponsored Search." Journal of Computer Science and Technology 30, no. 2 (March 2015): 295–310. http://dx.doi.org/10.1007/s11390-015-1523-4.

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8

Hedayati, Arshad, Arvin Fouladifar, and Elham Taghipour. "Determination and Ranking of Effective Advertising Media Employed by Iran Private Banks Using Analytical Hierarchy Process Technique." Modern Applied Science 10, no. 9 (May 27, 2016): 60. http://dx.doi.org/10.5539/mas.v10n9p60.

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Анотація:
Banks use various advertisingmediato develop their marketing plans.However, all the advertising media have not the same impacts on the economic growth of banksas their efficiencies are influenced by several technical and socialfactors. In this study, we investigate the importance of various advertising media on the progress of Iran private banks based on the evaluation of some important parameters such asthe media cost, geographical selection power, audiences’ media habits, type of the advertising message and advertisements of competitor banks.In this regard, television, newspapers and magazines, radio, and billboard and sport fields are selected as the mainmedia for the banks commercial activities. Using the analytical hierarchy process (AHP) method, the media cost with the importance of 34.3% is the main parameter and the type of the message with the importance of 10.2% is the least important factor influencing the selection of media by the banks for the advertisement operations. The results show that the effectiveness of advertising media is different sincetelevision with the importance of 47.3% is placed in the first level and the billboard and sport fields with 9% importance is in the last place. In general, the order of priority of advertising media is:television>newspapers and magazines> radio> billboard and sport fields.This study offers insight into the development of analysis for the selection of effective advertisingtools based on the factors related to the advertisement properties and the community behavior.
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9

Wang, Zehong, Xiaolong Han, Yanru Chen, Xiaotong Ye, Keli Hu, and Donghua Yu. "Prediction of Willingness to Pay for Airline Seat Selection Based on Improved Ensemble Learning." Aerospace 9, no. 2 (January 19, 2022): 47. http://dx.doi.org/10.3390/aerospace9020047.

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Анотація:
Airlines have launched various ancillary services to meet their passengers’ requirements and to increase their revenue. Ancillary revenue from seat selection is an important source of revenue for airlines and is a common type of advertisement. However, advertisements are generally delivered to all customers, including a significant proportion of people who do not wish to pay for seat selection. Random advertisements may thus decrease the amount of profit generated since users will tire of useless advertising, leading to a decrease in user stickiness. To solve this problem, we propose a Bagging in Certain Ratio Light Gradient Boosting Machine (BCR-LightGBM) to predict the willingness of passengers to pay to choose their seats. The experimental results show that the proposed model outperforms all 12 comparison models in terms of the area under the receiver operating characteristic curve (ROC-AUC) and F1-score. Furthermore, we studied two typical samples to demonstrate the decision-making phase of a decision tree in BCR-LightGBM and applied the Shapley additive explanation (SHAP) model to analyse the important influencing factors to further enhance the interpretability. We conclude that the customer’s values, the ticket fare, and the length of the trip are three factors that airlines should consider in their seat selection service.
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10

GALINDO, CARLOS ALBERTO, ANDRES VIUCHE-LOZANO, and MANUEL HERNANDO BERNAL. "The advertisement call of the Colombian endemic glassfrog Rulyrana susatamai (Anura: Centrolenidae)." Zootaxa 4852, no. 5 (September 18, 2020): 586–89. http://dx.doi.org/10.11646/zootaxa.4852.5.8.

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Анотація:
Anuran calls are conspicuous, diverse and subject to sexual selection. Many types of calls are described, but the most commonly studied is the advertisement call (Wells 2007; Toledo et al. 2014). Advertisement calls in anurans are emitted by males and some females (Toledo et al. 2014), and have the function of attracting conspecific mates and repelling male competitors. Because the advertisement calls of many species differ by such a magnitude that they serve as premating species (Heyer et al. 1996), it has been demonstrated that advertisement calls play an important role in species recognition, reproductive isolation, and may reflect evolutionary relations among taxa (Wells 2007; Escalona et al. 2018).
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Більше джерел

Дисертації з теми "Advertisement selection"

1

Lull, Robert Benjamin. "Do Sex and Violence Sell? The Effects of Violent Advertisements, Sexual Programs, and Program/Advertisement Congruity on Brand Memory, Brand Attitudes, and Product Selection." The Ohio State University, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=osu1431009987.

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2

Kime, Nicole Marie. "Female mate choice for socially variable advertisement calls in the cricket frog, Acris crepitans /." Full text (PDF) from UMI/Dissertation Abstracts International, 2001. http://wwwlib.umi.com/cr/utexas/fullcit?p3034556.

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3

Andersson, Anton, and Christoffer Urborn. "Journalistiken förändras : En kvantitativ innehållsanalys av hur mycket textreklam som finns i tre svenska lokaltidningar." Thesis, Mittuniversitetet, Avdelningen för medie- och kommunikationsvetenskap, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-26986.

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Анотація:
Problem definition and purpose: The media industry is a sphere faced with constant challenges. Technological inventions and economy are changing the rules of how and what media reports. To be able to stay current and make profit the newspapers have to adapt new thinking and evolve. In Sweden the journalistic union have stated that the line between editorial material and advertisement has became thinner. The purpose of this study is therefore to examine the state of three local newspapers today and the ten years back. It will examine if the occurence of what can be define as advetorial news – articles made by the newspapers own reporters but which serve and obvious profit for a second part – has increased or decreased. Method and material: To find an answer to the purpose of this thesis a quantitative content analysis have been done on a total of 1005 local news articles from three Swedish local newspapers in 2005 and 2015. Main result: The result of the content analysis shows that news defined as advetorial occur more frequently in two of the three studied news papers 2015 compared to 2005, while news defined as advetorial decreased in one of the news papers. The result also show that the total number of local news articles has decreased from 2005 to 2015.
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4

Коваленко, Андрій Олександрович. "Інформаційна система формування рекламного пакету з урахуванням індивідуальних характеристик користувача". Master's thesis, Київ, 2018. https://ela.kpi.ua/handle/123456789/26202.

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Анотація:
Актуальність. На сьогоднішній день все більш стає популярною ідея створення інтернет-сервісів, які не потребують будь-якої оплати за використання. Це допомагає розширити кількість користувачів, оскільки не всі користувачі готові, або можуть оплачувати використання сервісом. Для цього все більше сервісів використовують влаштовану в них рекламу як головне джерело прибутку. Це дозволяє сервісам бути незалежними та не втрачати ідентичності. Враховуючи це, є дуже актуальною ідея розробки системи, яка буде показувати таргетовану рекламу користувачам, які користуються даним сервісом. Це дозволить рекламодавцям менше витрачати грошей на рекламу та дозволить користувачам отримувати по-справжньому актуальну для них рекламу. Зв'язок роботи з науковими програмами, планами, темами. Робота виконувалась на кафедрі автоматизованих систем обробки інформації та управління Національного технічного університету України «Київський політехнічний інститут ім. Ігоря Сікорського» в рамках теми «Ефективні методи колаборативної фільтрації, засновані на аналізі поведінки користувачів, відображеної в "big data"». Мета дослідження – покращення релевантності рекомендованої реклами. Для досягнення мети необхідно виконати наступні задачі: - виконати огляд існуючих аналогічних систем; - здійснити аналіз та порівняння різних методів вирішення задачі підбору рекомендацій; - сформувати задачу підбору рекомендацій; - створити модель відбору рекомендацій реклами; - розробити прототип системи адміністрування рекламною кампанією; - виконати аналіз отриманих результатів. Об’єкт дослідження – процес формування рекламного пакету з урахуванням особистих характеристик користувача. Предмет дослідження – методи та моделі формування рекомендованого рекламного пакету. Методи дослідження, застосовані у даній роботі, базуються на методах колаборативної фільтрації. Наукова новизна одержаних результатів полягає у застосуванні модифакованого методу колаборативної фільтрації, який використовує набори ключових слів замість рейтингів. Публікації. Матеріали роботи опубліковані у рамках Всеукраїнської науково-практична конференція «Інформаційні системи та технології управління» (ІСТУ-2018).
Topicality. Today an idea of creation free-to-use Internet services, that does not need any charge for using, becomes more and more popular. It helps to increase number of potential users, because not all users are ready or able to pay for usage of internet services. To make it possible to create free services, creators are making built-in target advertising, which helps to earn money and stay independent company and do not lose identity in comparing to other services. Based on this reasons, there is a need to create system that will make as relevant advertisement recommendation to users, which are using system, as possible. It will help advertisers to spend less money for advertising and will show advertising to customers in which they are really interested. Relationship of work with scientific programs, plans, themes. The work was carried out at the Department of Automated Systems for Information Processing and Management of the National Technical University of Ukraine "Kyiv Polytechnic Institute. Igor Sikorsky "within the theme" «Effective methods of collaborative filtering based on the analysis of user behavior, reflected in "big data"». Purpose of the study is to improve the relevance of recommended advertisement. To achieve the purpose, there is need to solve tasks: - make a review of existing analogue systems; - make an analysis and compare different methods of making advertisement recommendations; - formalize task of making recommendations; - create model of effective recommendation picking based on collaborative filtering method; - create a prototype of a system for administrating advertising campaign; - perform analysis of results. The object of the research - process of forming advertisement package, based on user’s personal characteristics. Subject of research - methods and models for forming of a recommended advertisement. The research methods used in this work are based on collaborative filtering methods. The scientific novelty of the results is based on usage of modificated collaborative filtering method, which uses keywords list instead of ratings. Publications. The materials of this work published in the Ukrainian Scientific and Practical Conference “The actual problems of informatization of management decisions” (APIMD 2018).
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5

Acarlar, Gizem. "Factors Influencing Applicant Attraction To Job Openings." Master's thesis, METU, 2007. http://etd.lib.metu.edu.tr/upload/12608486/index.pdf.

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Анотація:
The main purpose of the present study was to explore the effects of characteristics of information given in a job advertisement (amount of information and the specificity of the information) on the potential applicants&rsquo
willingness to apply to the job opening with the mediating roles of credibility of and satisfaction from the information, and attraction to the organization. In addition to that, the factors affecting the decision of the applicants to apply for the job posted such as application modes (internet, by hand in the same city the applicant lives, by hand in a different city than the applicant lives), different selection methods (interview, personality test, knowledge test), and personality characteristics (goal orientation and self-efficacy) were investigated. The study was conducted in three phases. In the first phase, one hundred and seven Middle East Technical University (METU) students were used to decide between two alternatives of goal orientation and two self-efficacy scales, which were translated into Turkish and adapted for the current study, to be used in the main study by determining the validity and reliabilities of the scales. The second phase was the manipulation check, conducted to test the clarity and meaningfulness of the newly developed job advertisements and questions related to the research hypotheses. Thirty-two METU students were used for the second phase. The final phase was the main study. One hundred and fifty four METU students from Electrical and Electronics Department were used to examine the hypotheses of the study.The students were randomly assigned to the three different versions of job advertisement. Additionally, a questionnaire package was given to each participant. The results supported most of the main hypotheses and the proposed model except for the mediating effect of satisfaction. Advertisement type affected the willingness to apply to the job of potential applicant and this relation was mediated by credibility and credibility was mediated by attractiveness to the organization. A main effect of application mode was found for change in application decision, but no interaction was found between application mode and different attraction levels. Goal orientation found to be affecting applicants&rsquo
decision change for different selection methods. Self-efficacy failed to predict decision change for application for different selection methods. Results are discussed along with the strengths and limitations of the study and suggestions for future research.
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6

MAGLASANG, RENAN SEMBLANTE, and RENAN SEMBLANTE MAGLASANG. "GOAL PROGRAMMING MODEL FOR MULTIPLE CAMPAIGN BUS EXTERIOR ADVERTISEMENT SELECTION." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/39fds4.

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Анотація:
碩士
國立臺灣科技大學
工業管理系
99
In advertising terms, “insertion” is the process of inserting an advertising message or advertisement (“ad” hereafter) into a media stream such as television, radio, magazine, bus, etc. This study attempts to explore previous media selection models and assess its applicability to transit media (i.e. bus, taxi, ad trucks, and the like). It presents a linear integer goal programming model that would help agencies in selecting bus exterior spaces in various campaign durations (i.e. insertions). Furthermore, the proposed model extends previous media selection models by accounting issues raised by past empirical researches and media selection models into one model. Since the model attempts to handle two or more customers or campaigns, a goal programming model is formulated; we called it as the BAS Model. A planner in an advertising agency may manage to plan ad insertions of multiple customers or campaigns using this model. A subscripting approach is used to formulate decision variable to define insertion as options with i as the route, j as the type of ad, k as the duration, and h as the campaign or customer. Planning the bus ad insertions are to be done with consideration of the customers reach and frequency goals and budget. Moreover, with the attempt of optimizing these goals, the need for considering particular issues on target market matching, within-route duplication, between-route duplication, effective reach and frequency, and insertion discount become apparent as media planning decisions are affected by these issues.
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7

Su, Yu-Wen, and 蘇鈺雯. "An Optimization Model for Selection of Online Advertisement on Beauty Bloggers." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/ze3hq8.

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Анотація:
碩士
國立交通大學
管理學院運輸物流學程
106
Since Facebook (FB) is one of the most popular social medias in Taiwan and has a great number of active users, making FB become one of major marketing channels. However, how to select and corporate with popular FB bloggers to post positive comments on brands or products on their FB fan pages under advertisement budget is essential. Based on this, this study aims to develop a decision support system for the optimal selection of cooperated bloggers. To do so, this study first classifies active users of a total of 36 popular beauty bloggers to see their types of interest based on their comments and messages (e.g. likes on certain blog posts) and personal public information (gender, location, preference) on their fan pages by using Facebook Graph API. An optimization model for advertisement budget allocation among beauty bloggers to maximize the number of targeted users whom may be reached is then proposed. The results show that the total number of fans of a blogger is not the only reason for choosing those who to work with. The number of active fans actually matters. For the case of low advertising budget, the proposed model recommends to choose bloggers who have the number of fans ranging from 100,000 to 300,000 due to their comparative low blog charge. However, for the case of higher budget, the model in contrast suggests to work with bloggers with more than 400,000 fans. The case studies show that the proposed model is flexible to meet the various requirements of advisement agencies once the minimum numbers of different types of targeted fans have been pre-determined.
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8

Kime, Nicole Marie 1970. "Female mate choice for socially variable advertisement calls in the cricket frog, Acris crepitans." 2001. http://hdl.handle.net/2152/10632.

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9

Kime, Nicole Marie Ryan Michael J. "Female mate choice for socially variable advertisement calls in the cricket frog, Acris crepitans." 2001. http://wwwlib.umi.com/cr/utexas/fullcit?p3034556.

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10

Bechtold, John Ivan. "Attention to radio advertisements: an application of selective attention theory." 1986. http://hdl.handle.net/2097/27591.

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Книги з теми "Advertisement selection"

1

Pas, Harry van der. Matrimonial preferences among the bhadralok of Calcutta. Utrecht, Netherlands: HSP-Publications, 1988.

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2

Carol, Rosenwald, ed. The personals. New York, N.Y: Zebra Books, 1985.

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3

Hash, Susan. How to hire the best service professionals: Strategies, job descriptions, advertisements, interviews, and checklists for finding and retaining service professionals. 2nd ed. Boonton, NJ: Customer Service Group, 2007.

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4

Hash, Susan. How to hire the best service professionals: Strategies, job descriptions, advertisements, interviews and checklists for finding and retaining service professionals. New York, NY: Customer Service Group, 1999.

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5

Peach, Ken. Recruitment. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198796077.003.0006.

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Анотація:
This chapter addresses the topic of recruitment. Recruitment is a key management activity. Mostly, recruitment is a great success but, occasionally, it can go horribly wrong. A significant objective of the recruitment process is to tilt the outcome in favour of the former while avoiding the latter. There are several different types of recruitment, but they share many common recruitment actions. The necessary paperwork (job description, person specification, advertisement, etc.) is discussed, as well as the need to eliminate both conscious and unconscious bias. The need for, and actions required to achieve, equal opportunity regardless of gender, ethnicity or sexual preference are also discussed. In addition, the processes of candidate selection and interview are described.
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6

1948-, Ray Choudhury Ranabir, ed. Early Calcutta advertisements, 1875-1925: [a selection from the Statesman]. Bombay: Nachiketa Publications, 1992.

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7

Love by Mail: The International Guide to Personal Advertising. Enigma Books, 1992.

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8

Deaville, James, Siu-Lan Tan, and Ron Rodman, eds. The Oxford Handbook of Music and Advertising. Oxford University Press, 2021. http://dx.doi.org/10.1093/oxfordhb/9780190691240.001.0001.

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The Oxford Handbook of Music and Advertising assembles an array of forty-two pathbreaking chapters on the production, texts, and reception of advertising through music. Uniquely interdisciplinary, the collection’s tripartite structure leads the reader through these stages in the communication of the advertising message as presented by Chris Wharton (2015). The chapters on production study the factors, activities, and people behind the music for the marketing pitch, both past and present. Prominent throughlines in the section include factors influencing the selection of music (and musicians) for advertising, the role of music in corporate branding strategies, the creative forces behind the soundscape of advertising, and industry practices that undergird all aspects of music in commercial contexts. The section on Text focuses on analytic and historical approaches to ads in various media, and includes commentaries on musical genres in ads ranging from Western European art music to American popular genre. Also covered in this section is ad music as used in different ad genres, such as political ads, public service announcements, and television commercials. The analyses used in this section draws from traditional music theory, semiotics, and hermeneutic analysis. Finally, the last section addressing “Reception”—with contributions by researchers in psychology, marketing, and other fields—involves the formulation of models and theories, and implementation of research methods to examine how the presence of music may influence peoples’ attitudes, emotions, thoughts, and behaviors in the context of advertisements and within service environments such as stores, restaurants, and banks. The editors and chapter contributors of this book bring a diversity of perspectives to the topic but share a united aim: to illuminate music’s vital contribution to the advertising message.
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Частини книг з теми "Advertisement selection"

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Wang, Ping, Chi-Chun Lo, and Leon Smalov. "Consensus Issues for Service Advertisement and Selection." In Advanced Information and Knowledge Processing, 161–87. London: Springer London, 2009. http://dx.doi.org/10.1007/978-1-84996-041-0_7.

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Greenfield, Michael D. "Sexual Selection and the Evolution of Advertisement Signals." In Communication, 145–77. Boston, MA: Springer US, 1997. http://dx.doi.org/10.1007/978-1-4899-1745-4_6.

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Koutsopoulos, Iordanis, and Panagiotis Spentzouris. "Native Advertisement Selection and Allocation in Social Media Post Feeds." In Machine Learning and Knowledge Discovery in Databases, 588–603. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-46128-1_37.

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Sneddon, Wendy. "Step 5: recruitment and induction." In Ten steps to building a successful veterinary practice, 41–54. Wallingford: CABI, 2021. http://dx.doi.org/10.1079/9781786394910.0005.

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Анотація:
Abstract In the context of veterinary practice, this chapter offers guidelines for recruitment, from the drafting of the job advertisement to the screening, interview and selection process, and finally the making of a job offer.
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Manik, Prerna, Anshu Gupta, and P. C. Jha. "A Goal Programming Model for Advertisement Selection on Online News Media." In Advances in Intelligent Systems and Computing, 1401–19. New Delhi: Springer India, 2014. http://dx.doi.org/10.1007/978-81-322-1602-5_143.

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Singh, Meenu, Millie Pant, Arshia Kaul, and P. C. Jha. "Online Academic Social Networking Sites (ASNSs) Selection Through AHP for Placement of Advertisement of E-Learning Website." In Advances in Intelligent Systems and Computing, 1008–17. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-76348-4_97.

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Le, Bao Nguyen, Dac-Nhuong Le, Gia Nhu Nguyen, and Do Nang Toan. "Optimizing Selection of PZMI Features Based on MMAS Algorithm for Face Recognition of the Online Video Contextual Advertisement User-Oriented System." In Lecture Notes in Computer Science, 317–30. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-49046-5_27.

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Al-Hadrusi, Musab S., and Nabil J. Sarhan. "Client-Driven Price Selection for Scalable Video Streaming with Advertisements." In Lecture Notes in Computer Science, 429–39. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-27355-1_40.

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Chakraborty, Goutam, L. C. Cheng, L. S. Chen, and Cedric Bornand. "Selecting Important Features Related to Efficacy of Mobile Advertisements." In Intelligent Information and Database Systems, 728–37. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-54472-4_68.

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Tekin, Ahmet Tezcan, Tolga Kaya, and Ferhan Çebi. "Click Prediction in Digital Advertisements: A Fuzzy Approach to Model Selection." In Advances in Intelligent Systems and Computing, 213–20. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-51156-2_26.

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Тези доповідей конференцій з теми "Advertisement selection"

1

Okada, Karla, Edleno S. de Moura, Marco Cristo, David Fernandes, Marcos André Gonçalves, and Klessius Berlt. "Advertisement selection for online videos." In the 18th Brazilian symposium. New York, New York, USA: ACM Press, 2012. http://dx.doi.org/10.1145/2382636.2382713.

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Xu, Wanru, Ruiqi Liu, Panlong Yang, Xiaoming Chen, Maotian Zhang, Yiwei Xu, and Pengkun Sheng. "eMAP: Efficient User Selection for Mobile Advertisement Popularization." In 2016 IEEE 83rd Vehicular Technology Conference (VTC Spring). IEEE, 2016. http://dx.doi.org/10.1109/vtcspring.2016.7504210.

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Tang, Shaojie. "Robust Advertisement Allocation." In Twenty-Sixth International Joint Conference on Artificial Intelligence. California: International Joint Conferences on Artificial Intelligence Organization, 2017. http://dx.doi.org/10.24963/ijcai.2017/617.

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With the rapid growth of e-commerce and World Wide Web, internet advertising revenue has surpassed broadcast revenue very recently. As online advertising has become a major source of revenue for online publishers, such as Google and Amazon, one problem facing them is to optimize the ads selection and allocation in order to maximize their revenue. Although there is a rich body of work that has been devoted to this field, uncertainty about models and parameter settings is largely ignored in existing algorithm design. To fill this gap, we are the first to formulate and study the \emph{Robust Ad Allocation} problem, by taking into account the uncertainty about parameter settings. We define a Robust Ad Allocation framework with a set of candidate parameter settings, typically derived from different users or topics. Our main aim is to develop robust ad allocation algorithms, which can provide satisfactory performance across a spectrum of parameter settings, compared to the (parameter-specific) optimum solutions. We study this problem progressively and propose a series of algorithms with bounded approximation ratio.
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Rogers, Alex, Esther David, Terry R. Payne, and Nicholas R. Jennings. "An advanced bidding agent for advertisement selection on public displays." In the 6th international joint conference. New York, New York, USA: ACM Press, 2007. http://dx.doi.org/10.1145/1329125.1329186.

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Xu, Wanru, Panlong Yang, Maotian Zhang, Chaocan Xiang, Yiwei Xu, Ping Li, and Xuangou Wu. "Near Optimal Mobile Advertisement User Selection with Interested Area Coverage." In 2016 International Conference on Advanced Cloud and Big Data (CBD). IEEE, 2016. http://dx.doi.org/10.1109/cbd.2016.025.

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Chan, Zhangming, Yuchi Zhang, Xiuying Chen, Shen Gao, Zhiqiang Zhang, Dongyan Zhao, and Rui Yan. "Selection and Generation: Learning towards Multi-Product Advertisement Post Generation." In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP). Stroudsburg, PA, USA: Association for Computational Linguistics, 2020. http://dx.doi.org/10.18653/v1/2020.emnlp-main.313.

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Katoh, Nobuo, and Kazumasa Takami. "A Method of Advertisement Selection in Multiple RFID-Tags Sensor Network for a Ubiquitous Wide-Area Advertising Service." In 2008 Second International Conference on Sensor Technologies and Applications (sensorcomm 2008). IEEE, 2008. http://dx.doi.org/10.1109/sensorcomm.2008.21.

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Einziger, Gil, Carla-Fabiana Chiasserini, and Francesco Malandrino. "Effective Selection of Targeted Advertisements for Vehicular Users." In MSWiM '16: 19th ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems. New York, NY, USA: ACM, 2016. http://dx.doi.org/10.1145/2988287.2989136.

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9

Chen, Kun, Kechao Cai, Longbo Huang, and John C. S. Lui. "Beyond the Click-Through Rate: Web Link Selection with Multi-level Feedback." In Twenty-Seventh International Joint Conference on Artificial Intelligence {IJCAI-18}. California: International Joint Conferences on Artificial Intelligence Organization, 2018. http://dx.doi.org/10.24963/ijcai.2018/459.

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The web link selection problem is to select a small subset of web links from a large web link pool, and to place the selected links on a web page that can only accommodate a limited number of links, e.g., advertisements, recommendations, or news feeds. Despite the long concerned click-through rate which reflects the attractiveness of the link itself, revenue can only be obtained from user actions after clicks, e.g., purchasing after being directed to the product pages by recommendation links. Thus, web links have an intrinsic multi-level feedback structure. With this observation, we consider the context-free web link selection problem, where the objective is to maximize revenue while ensuring that the attractiveness is no less than a preset threshold. The key challenge of the problem is that each link's multi-level feedbacks are stochastic, and unobservable unless the link is selected. We model this problem with a constrained stochastic multi-armed bandit formulation, and design an efficient link selection algorithm, called Constrained Upper Confidence Bound algorithm (Con-UCB). We prove O(sqrt(T ln(T))) bounds on both regret and violation of the attractiveness constraint. We also conduct extensive experiments on three real-world datasets, and show that Con-UCB outperforms state-of-the-art context-free bandit algorithms concerning the multi-level feedback structure.
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Bandyopadhyay, Sumana, and Rajat Kumar Pal. "An algorithm for selecting programme slots to broadcast advertisements in parallel in different television channels." In 2011 IEEE International Conference on Computer Science and Automation Engineering (CSAE). IEEE, 2011. http://dx.doi.org/10.1109/csae.2011.5952496.

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