Relevant bibliographies by topics / CUSTOMISED ADVERTISEMENTS

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Academic literature on the topic 'CUSTOMISED ADVERTISEMENTS'

Author: Grafiati
Published: 11 September 2023

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Journal articles on the topic "CUSTOMISED ADVERTISEMENTS"

1

Abirami, B., and Meghna Rajan. "Impact of Behavioural Retargeting on the Purchase Pattern of Customers." RESEARCH REVIEW International Journal of Multidisciplinary 7, no. 9 (2022): 01–06. http://dx.doi.org/10.31305/rrijm.2022.v07.i09.001.

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Retargeting is a type of online advertising in which the consumer's previous activities are used to target them. In this paper it reflects the “impact of behavioural retargeting on the purchase pattern of consumers Using this relatively new method, businesses can now give customers customised recommendations in real time when they visit their websites, allowing them to remember their intents and possibly persuading them to make a purchase. This paper study the change in purchase pattern of the customers and it was found that the behavioural change is not influenced by retargeting advertisement
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Kim, Hyeong-Gyun. "Design of AI Digital Signage System Through User Hierarchy Analysis Based on Deep Learning." Journal of Computational and Theoretical Nanoscience 18, no. 5 (2021): 1500–1505. http://dx.doi.org/10.1166/jctn.2021.9572.

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Existing digital signage advertisements send advertisements to unspecified people, so there is a limit to the advertisement exposure effect, and it is very difficult to analyze advertisement effects because several advertisements are repeatedly exposed for a certain period of time. This paper proposes an AI digital signage system that automatically analyzes the user hierarchy based on deep learning and displays customized advertisements to users. For this, a system that learns the face of an ad viewer is built using a convolutional neural network. For preliminary training, we used face images
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3

Oztaysi, Basar, Sezi Cevik Onar, and Cengiz Kahraman. "A dynamic pricing model for location based systems by using spherical fuzzy AHP scoring." Journal of Intelligent & Fuzzy Systems 39, no. 5 (2020): 6293–302. http://dx.doi.org/10.3233/jifs-189097.

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Location-Based Systems enable novel business models that can locate a person and send an action or message to him/her. One of the most commonly adopted location-based business models is location-based advertisements. Companies can send customized messages to target customers by using location-based ads. The model is promising since the conversion rate of the customers is high. On the other side, since the customers can be targeted based on their locations and interests, the price of the advertisement should be modeled a dynamic pricing model. In this study, we propose a dynamic pricing model f
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Hanafizadeh, Payam, Mehdi Behboudi, and Hamideh Mokhtari Hasanabad. "Online Advertising Intermediary." International Journal of Online Marketing 4, no. 1 (2014): 29–38. http://dx.doi.org/10.4018/ijom.2014010103.

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Applying bleeding edge courses of action in advertising is always a case on the table of decision makers. In online case, lack of a practice to place right advertisement in a right time for the right user has been counted as biggest challenage. On the other hand, “ad clutter”, the key criticism on online advertising; is about to put online advertisement's benefits away and annoying users more than before. Accordingly, this article aims at scrutinizing this critical problem by incorporating one of the next generation technologies, Lead Generation. This study introduces an e-business framework i
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Sharma, Rishi Raj, and Balpreet Kaur. "Modeling the Elements and Effects of Global Viral Advertising Content: A Cross-cultural Framework." Vision: The Journal of Business Perspective 22, no. 1 (2018): 1–10. http://dx.doi.org/10.1177/0972262917750225.

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With advancements in information and communication technology, a lot of changes have come in the way the products are being promoted by the marketers across the globe. Viral marketing incites the consumers to disseminate marketing content through various modes and one of which includes viral advertisements. The study analysed the content of global advertisements to explore the dominating factors in the ad content which makes them viral across the globe. Survey was conducted online among the respondents of Indian and American origin for measuring the effectiveness of the dominating elements on
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6

Bodenmiller, Adam E., Adnan K. Shaout, and Zhivko V. Tyankov. "A Classified Advertisement Framework to Support Niche and other Targeted Markets." International Journal of Enterprise Information Systems 12, no. 3 (2016): 38–59. http://dx.doi.org/10.4018/ijeis.2016070103.

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Classified advertisement sites often follow two different approaches to filter classified advertisement data to customers and potential customers. The first approach is to reach out to the broader market, allowing the customers to filter to their target market on the classified website. The downside of this approach is that it lacks the customization and specialization people in a niche market tend to prefer. The second approach is to create classified advertisement websites that are customized to meet the needs of a target or niche market. This specialization is more appealing to niche market
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7

Rennick, Brian, Leticia Camacho, and Andy Spackman. "Targeted awareness: promoting niche resources using confirmation emails." Library Management 41, no. 4/5 (2020): 183–91. http://dx.doi.org/10.1108/lm-11-2019-0083.

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PurposeThe purpose of this paper is to examine the effectiveness of a targeted email advertising method that informs university students about library resources relevant to their major.Design/methodology/approachOver the course of one semester, students with business and communications majors who reserved group study rooms received customized confirmation emails that included targeted advertisements for library databases. These advertisements invited students to click a link that led to a database related to a student's major. Near the end of the semester, students were invited to complete a s
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8

Corso, Kathiane Benedetti, and Matheus de Mello Barcellos. "A RESPOSTA DOS ESPECTADORES DO YOUTUBE A PROPAGANDAS INTEGRADAS AO CONTEÚDO DE VÍDEOS: um estudo netnográfico." Revista Observatório 5, no. 6 (2019): 171–96. http://dx.doi.org/10.20873/uft.2447-4266.2019v5n6p171.

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O presente artigo tem por objetivo analisar a resposta de usuários do YouTube à existência de propaganda inserida dentro do conteúdo de vídeosPara se chegar a tal objetivo foi realizada uma pesquisa exploratória e qualitativa através do método netnográfico. Como principais resultados foi observado que existem cinco modelos utilizados pelos produtores de conteúdo para a inserção de propagandas no conteúdo de vídeos. Os modelos com maior resposta por parte dos usuários foram aqueles que apresentavam o produto por um período maior de tempo. Sendo que as propagandas que apresentaram uma resposta m
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9

Jeong, Da-Bin, Mi-Seon Lee, and Hwa-Jung Choi. "Study on Recognition and Brand of Customized Cosmetics According to Sex, Residental Area and Final education Level." Journal of the Korean Society of Cosmetology 29, no. 3 (2023): 751–63. http://dx.doi.org/10.52660/jksc.2023.29.3.751.

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In response to consumer demand for personalized content, the customized cosmetics market continues to grow, centering on the beauty industry. This study was conducted to find out the awareness and brand awareness of customized cosmetics. From February 2023, a total of 313 adult men and women residing in Korea were surveyed on the degree of awareness of customized cosmetics, domestic and foreign brand awareness and use experience, evaluation of major brands of customized cosmetics, and expectations. Statistical analysis was performed on the data collected after the survey using SPSS version 25.
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10

Chen, Ping Ping, Ding Ying Tan, and Xiu Feng Liu. "Research and Achievement of Customized Services in Electronic Commerce Based on Data Mining." Advanced Materials Research 546-547 (July 2012): 452–57. http://dx.doi.org/10.4028/www.scientific.net/amr.546-547.452.

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As the amount of sales increases rapidly, amount of data become very huge, and the management of customers’ relationship also becomes a more complex problem. Using data mining to analyze data to discover the rules and knowledge among them so that customized services in electronic commerce could be sustained and enterprises’ sales could be more intelligential. With data mining, we can do the following things. Firstly, it analyzes the customers’ shopping behavior and preference with association rules so that it can provide the recommending in the shopping process to make customers getting the ri
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