Browsing by Author "Liao, Chia-Hung"

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A Photo Post Recommendation System Based on Topic Model for Improving Facebook Fan Page Engagement
(2020-07-01)
Liao, Chia-Hung
;
Chen, Li-Xian
;
Yang, Jhih-Cheng
;
Yuan, Shyan-Ming
;
資訊工程學系
Digital advertising on social media officially surpassed traditional advertising and became the largest marketing media in many countries. However, how to maximize the value of the overall marketing budget is one of the most concerning issues of all enterprises. The content of the Facebook photo post needs to be analyzed effectively so that the social media companies and managers can concentrate on handling their fan pages. This research aimed to use text mining techniques to find the audience accurately. Therefore, we built a topic model recommendation system (TMRS) to analyze Facebook posts by sorting the target posts according to the recommended scores. The TMRS includes six stages, such as data preprocessing, Chinese word segmentation, word refinement, TF-IDF word vector conversion, creating model via Latent Semantic Indexing (LSI), or Latent Dirichlet Allocation (LDA), and calculating the recommendation score. In addition to automatically selecting posts to create advertisements, this model is more effective in using marketing budgets and getting more engagements. Based on the recommendation results, it is verified that the TMRS can increase the engagement rate compared to the traditional engagement rate recommended method (ERRM). Ultimately, advertisers can have the chance to create ads for the post with potentially high engagements under a limited budget.
Blockchain-Based Cross-Organizational Integrated Platform for Issuing and Redeeming Reward Points
(2019-01-01)
Liao, Chia-Hung
;
Teng, Ya-Wen
;
Yuan, Shyan-Ming
;
資訊工程學系
;
Department of Computer Science
For the sake of enhancing repurchase rate and customer loyalty, plenty of enterprises have issued reward points. However, as there are more enterprises issuing reward points, customers become less and less interested to collect them. Even though there are companies forming a business alliance to make reward points more attractive, it is usually managed by a central leading company. In other words, there still exists a security concern for a centralized system. In this paper, we propose a blockchain-based cross-organizational integrated platform (BCOIP) for issuing and redeeming reward points. BCOIP provides customers an electronic reward point system that is easier to collect and manage and could circulate in many enterprises. Besides, since BCOIP deploys the smart contract to operate the reward point and make all point transactions stored on the permissioned blockchain, it provides more interoperability and security to enterprises and more credibility for costumers. Moreover, goods providers joining the BCOIP could not only improve the diversity of the reward market but also reach more costumers. Finally, we conduct two experiments to evaluate the efficiency and stability of the BCOIP. Results indicate that points transactions are stable regardless of the number of parallel processes and the other shows the number of nodes has nothing to do with the efficiency of this system.