A 2020 perspective on “A graph-oriented model for hierarchical user interest in precision social marketing”

Zhu, Zhiliang; Li-ping, Kong; Deng, Xiaoyi; Tan, Bo

doi:10.1016/j.elerap.2020.100962

Cited by 3 publications

(3 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Users usually collect their favorite pictures on social media platforms and label them with classification labels. Zhu et al (2020) constructed a user interest graph model, representing a hierarchical tree structure, with an exponential interest attenuation mechanism. Their research in 2020 commented on this model from four dimensions: data collection, representation of user interest, construction and enhancement of user interest characteristics, and evaluation of the user interest model.…”

Section: Literature Review and Research Hypothesismentioning

confidence: 99%

Does User Preference Matter? A Comparative Study on Influencing Factors of User Activity Between Government-Provided and Business-Provided Apps

Guo

2022

Front. Psychol.

View full text Add to dashboard Cite

The competition between government-provided apps and business-provided apps for active users in China is becoming increasingly fierce. Apps with higher user activity will win this competition. To maintain active users, finding the user activity influencing factors is crucial. In this study, we selected a government-provided app—“Beijing One Card”- and a business-provided app—“Bus Code” (the Beijing area) -in the field of public transportation as the comparative research objects. Based on multiple regression analysis, we explored the factors influencing user activity. We found user preference plays a critical role in distinguishing the influencing factors of user activity between two kinds of apps. Distinct from the existing research, the service quality does not affect the user activity of public transportation apps. This paper argues that, whether it is a government-provided app or a business-provided app, to enhance the user activity of the app, in the short term, it is necessary to improve the app function according to the user’s needs, try to provide services which user like, cater to user’s preference, strengthen user experience; In the long run, it is essential to pay attention to mining the user’s data accumulated while operating the app to understand user behavior. So as to affect the user’s preference, enhance user’s trust, and improve user participation through public policy.

show abstract

Section: Literature Review and Research Hypothesismentioning

confidence: 99%

Does User Preference Matter? A Comparative Study on Influencing Factors of User Activity Between Government-Provided and Business-Provided Apps

Guo

2022

Front. Psychol.

View full text Add to dashboard Cite

show abstract

“…Semakin tinggi minat peternak, semakin tinggi tingkat implementasi teknologi. Untuk meningkatkan minat, orang yang belum menerapkan teknologi membutuhkan banyak informasi dari orang lain yang telah menerapkan teknologi (Zhu et al, 2020).…”

Section: Analisis Regresi Linear Bergandaunclassified

Pengetahuan Dan Minat Masyarakat Peternak Untuk Menerapkan Teknologi Inseminasi Buatan

Asgaf

Jamili²,

Rusli³

2022

JWP

View full text Add to dashboard Cite

Artificial insemination (AI) is one of the appropriate techniques in increasing cattle productivity and to improve cow genetics. However, not all people are interested in implementing IB Technology. This study aims to explain how to increase the interest of the breeder community to apply artificial insemination technology. This study uses a descriptive quantitative approach. The total sample of 33 respondents was taken by purposive sampling, namely farmers who have at least one calf produced by means of artificial insemination (IB) technology. The analysis used for knowledge and interest variables is descriptive analysis, regression analysis, and T-Test. From the research results obtained knowledge and interest are very influential in improving the application of artificial insemination (IB) technology. The contribution of increasing each variable is knowledge by 24.4% and interest by 48.8%. From these results, it can be concluded that the interest and knowledge of the farming community about artificial insemination technology is very influential or significant based on the results of the T-Test which shows that the substantial value in the attitude of farmers is (0.000) < (0.05). With the implementation of artificial insemination technology carried out by farmers, the community is expected to be able to increase the productivity and quality of their livestock genetic products Keywords: Breeding Community; Interest; Knowledge; Artificial Insemination Technology

show abstract

“…Another study in research [10] with the application of AISAS (Attention, Interest, Search, Action, and Share) model with the AHP method on consumer purchase history data. Other research was also conducted by [16] using the User Interest Graph (UIG) model on user interest and there is also research by [17], [18] based on big data theory with several types of data sources including customer databases, social media, online platforms, and market analysis. From the description, a comparison of studies in the case of precision marketing is shown in the Table 1.…”

Section: Introductionmentioning

confidence: 99%

Precision Marketing Model using Decision Tree on e-Commerce Case Study Orebae.com

Fadil Indra Sanjaya,

Anna Dina Kalifia

2023

J. RESTI (Rekayasa Sist. Teknol. Inf.)

View full text Add to dashboard Cite

The development of the industrial world towards industry 4.0 has resulted in changes in the lifestyle of the wider community in carrying out their activities through digital media, one of which is shopping. This has an impact on the emergence of many business actors in the e-commerce field which brings its own challenges to stay alive and face the competition. The demands for innovation in competitive competition are also increasingly diverse with various approaches ranging from technology, social science, management science and even artificial intelligence. One form of innovation that is widely carried out by e-commerce today is looking for an ideal and effective form of marketing, where the form of marketing itself is considered less able to accommodate e-commerce needs. One form of real innovation in finding the ideal and effective marketing is with precision marketing. Precision marketing itself is marketing that is carried out by utilizing data where consumers are the center of preference for data collection. In fact, many e-commerce companies that were launched were unable to keep up with the competition because they were unable to develop marketing strategies and eventually went bankrupt. Therefore, we need a special way to bridge these problems so that e-commerce can stay alive, especially for e-commerce classified as Small and Medium Enterprises (SMEs). This research will focus on developing a precision marketing model in SME e-commerce, namely orebae.com which can be used as a tool in developing marketing strategies. This research was conducted using a machine learning approach by adopting a decision tree algorithm. From the results of this study, showed that precision marketing model for orebae.com according to customer preferences, can be used to increase the number of orebae.com sales and to reduce marketing cost.

show abstract

A 2020 perspective on “A graph-oriented model for hierarchical user interest in precision social marketing”

Cited by 3 publications

References 8 publications

Does User Preference Matter? A Comparative Study on Influencing Factors of User Activity Between Government-Provided and Business-Provided Apps

Does User Preference Matter? A Comparative Study on Influencing Factors of User Activity Between Government-Provided and Business-Provided Apps

Pengetahuan Dan Minat Masyarakat Peternak Untuk Menerapkan Teknologi Inseminasi Buatan

Precision Marketing Model using Decision Tree on e-Commerce Case Study Orebae.com

Contact Info

Product

Resources

About