{"title":"Pre-trained Language Models in Multi-Goal Conversational Recommender Systems","authors":"Taeho Kim, H. Jang, Sang-Wook Kim","doi":"10.30693/smj.2023.12.6.35","DOIUrl":"https://doi.org/10.30693/smj.2023.12.6.35","url":null,"abstract":"In this paper, we examine pre-trained language models used in Multi-Goal Conversational Recommender Systems (MG-CRS), comparing and analyzing their performances of various pre-trained language models. Specifically, we investigate the impact of the sizes of language models on the performance of MG-CRS. The three types of language models of BERT, GPT2, and BART, and compare their accuracy in two tasks of 'type prediction and topic prediction on the MG-CRS dataset, DuRecDial 2.0. Experimental results show that all models demonstrate excellent performance in the type prediction task, but provide significant in performance depending on models or their sizes in the topic prediction task. Based on these findings, the study provides directions for improving the performance of MG-CRS.","PeriodicalId":249252,"journal":{"name":"Korean Institute of Smart Media","volume":"131 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115180768","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yun-ok Lee, Mijin Noh, Yangsok Kim, Mumoungcho Han
{"title":"Analysis of service strategies through changes in Messenger application reviews during the pandemic: focusing on topic modeling","authors":"Yun-ok Lee, Mijin Noh, Yangsok Kim, Mumoungcho Han","doi":"10.30693/smj.2023.12.6.15","DOIUrl":"https://doi.org/10.30693/smj.2023.12.6.15","url":null,"abstract":"As face-to-face communication has become difficult due to the COVID-19 pandemic, studies have been conducted to understand the impact of non-face-to-face communication, but there is a lack of research that examines this through messenger application reviews. This study aims to identify the impact of the pandemic through Latent Dirichlet Allocation (LDA) topic modeling by collecting review data of 메신저 applications in the Google Play Store and suggest service strategies accordingly. The study categorized the data based on when the pandemic started and the ratings given by users. The analysis showed that messenger is mainly used by middle-aged and older people, and that family communication increased after the pandemic. Users expressed frustration with the application's updates and found it difficult to adapt to the changes. This calls for a development approach that adjusts the frequency of updates and actively listens to user feedback. Also, providing an intuitive and simple user interface (UI) is expected to improve user satisfaction.","PeriodicalId":249252,"journal":{"name":"Korean Institute of Smart Media","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122459170","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Seon Yeong Yu, Mijin Noh, Yangsok Kim, Mumoungcho Han
{"title":"A study of changes in user experience and service evaluation: Topic modeling of Netflix app reviews","authors":"Seon Yeong Yu, Mijin Noh, Yangsok Kim, Mumoungcho Han","doi":"10.30693/smj.2023.12.6.27","DOIUrl":"https://doi.org/10.30693/smj.2023.12.6.27","url":null,"abstract":"As Netflix usage has increased due to the COVID-19 pandemic, users' experiences with the service have also increased. Therefore, this study aims to conduct topic modeling analysis based on Netflix review data to explore the changes in Netflix user experience and service before and after the COVID-19 pandemic. We collected Netflix app review data from the Google Play Store using the Google Play Scraper library, and used topic modeling to examine keyword differences between app reviews before and after the pandemic. The analysis revealed four main topics: Netflix app features, Netflix content, Netflix service usage, and Netflix overall reviews. After the pandemic, when user experience increased, users tended to use more diverse and detailed keywords in their reviews. By using Netflix review data to analyze users' opinions, this study shows the changes in user experience of Netflix services before and after the pandemic, which can be used as a guide to strengthen competitiveness in the competitive OTT market.","PeriodicalId":249252,"journal":{"name":"Korean Institute of Smart Media","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125497665","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Linear-time algorithms for computing a maximal increasing subsequence","authors":"J. Na","doi":"10.30693/smj.2023.12.6.9","DOIUrl":"https://doi.org/10.30693/smj.2023.12.6.9","url":null,"abstract":"The longest increasing subsequence is a fundamental problem which has been studied for a long time in computer science. In this paper, we consider the maximal increasing subsequence problem where the constraint is released from the longest to the maximal. For two kinds of increasing (monotone increasing and strictly increasing), we propose linear-time algorithms computing a maximal increasing subsequence of an input sequence from an alphabet . Our algorithm for computing a maximal monotone increasing subsequence requires space and our algorithm for computing a maximal strictly increasing subsequence requires space.","PeriodicalId":249252,"journal":{"name":"Korean Institute of Smart Media","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128646382","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Study on Environmental Factor Recommendation Technology based on Deep Learning for Digital Agriculture","authors":"Han-Jin Cho","doi":"10.30693/smj.2023.12.5.65","DOIUrl":"https://doi.org/10.30693/smj.2023.12.5.65","url":null,"abstract":"Smart Farm means creating new value in various fields related to agriculture, including not only agricultural production but also distribution and consumption through the convergence of agriculture and ICT. In Korea, a rental smart farm is created to spread smart agriculture, and a smart farm big data platform is established to promote data collection and utilization. It is pushing for digital transformation of agricultural products distribution from production areas to consumption areas, such as expanding smart APCs, operating online exchanges, and digitizing wholesale market transaction information. As such, although agricultural data is generated according to characteristics from various sources, it is only used as a service using statistics and standardized data. This is because there are limitations due to distributed data collection from agriculture to production, distribution, and consumption, and it is difficult to collect and process various types of data from various sources. Therefore, in this paper, we analyze the current state of domestic agricultural data collection and sharing for digital agriculture and propose a data collection and linkage method for artificial intelligence services. And, using the proposed data, we propose a deep learning-based environmental factor recommendation method.","PeriodicalId":249252,"journal":{"name":"Korean Institute of Smart Media","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115011771","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Development of overhead distribution line diagnosis system program","authors":"Dong Hyeon Chung, Deok Jin Lee","doi":"10.30693/smj.2023.12.5.81","DOIUrl":"https://doi.org/10.30693/smj.2023.12.5.81","url":null,"abstract":"In this paper, accidents in high-voltage overhead distribution lines, which provide stable power supply in the power system, cause inconvenience in life and disruption of production of companies. 22.9 [kV] high-voltage overhead power distribution lines aim to improve reliability and stability, such as damage caused by rain, snow, wind, etc., or electric shock prevention. Therefore, in order to prevent wire disconnection accidents due to deterioration of electrical conductivity or tensile strength due to corrosion of overhead distribution lines, it is necessary to prevent unexpected accidents in the future through regular inspection and repair. In order to diagnose deterioration due to corrosion of distribution lines, a diagnostic system (measuring instrument) is installed on the wires to monitor the condition of the wires. The manager on the ground receives the measured data through ZigBee wireless communication, controls the diagnosis system through the diagnosis system program, and grasps the condition of the overhead distribution line through the measured data and photographed photos, and predicts the life of the wire along with the visual inspection method. developed a program.","PeriodicalId":249252,"journal":{"name":"Korean Institute of Smart Media","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123750072","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Customer-based Recommendation Model for Next Merchant Recommendation","authors":"Bayartsetseg Kalina, Ju-hong Lee","doi":"10.30693/smj.2023.12.5.9","DOIUrl":"https://doi.org/10.30693/smj.2023.12.5.9","url":null,"abstract":"In the recommendation system of the credit card company, it is necessary to understand the customer patterns to predict a customer’s next merchant based on their histories. The data we want to model is much more complex and there are various patterns that customers choose. In such a situation, it is necessary to use an effective model that not only shows the relevance of the merchants, but also the relevance of the customers relative to these merchants. The proposed model aims to predict the next merchant for the customer. To improve prediction performance, we propose a novel model, called Customer-based Recommendation Model (CRM), to produce a more efficient representation of customers. For the next merchant recommendation system, we use a synthetic credit card usage dataset, BC’17. To demonstrate the applicability of the proposed model, we also apply it to the next item recommendation with another real-world transaction dataset, IJCAI’16.","PeriodicalId":249252,"journal":{"name":"Korean Institute of Smart Media","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117090525","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Logo Renewal Design according to Strategy for Renewal based on Brand Life Cycle Focused on Cases for brands in Food and beverages","authors":"Yerim Lee, Jiae Han","doi":"10.30693/smj.2023.12.5.111","DOIUrl":"https://doi.org/10.30693/smj.2023.12.5.111","url":null,"abstract":"The purpose of this study is to find methods for logo renewal design according to the brand life cycle, considering the logo as an important visual tool that represents the brand identity in terms of brand management. This study was conducted through literature study on brand life cycle and brand renewal strategy, an expert survey on logo renewal design, and logo analysis of 35 food and beverage brands with statistical data to determine brand life cycle. The results of the study are three. First, the four stages(introduction, growth, maturity, and decline) of brand life cycle characteristics and renewal strategies were derived. Second, four brand renewal strategies(partial change, total change, repositioning, new image creation) and methods for logo renewal design were proposed based on the life cycle of the brand. Based on this, renewal characteristics for each life cycle were proposed. Third, visual elements of identity that are important depending on the brand life cycle and brand renewal strategy were found. It was found that the addition and subtraction of graphic elements and change of color tone are important in the partial change strategy of the growth period and maturity period, and that the change of signature color is important in the repositioning strategy and the creation of the new image.","PeriodicalId":249252,"journal":{"name":"Korean Institute of Smart Media","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128684588","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Hyun Taek Lim, Soo-Hyung Kim, Gueesang Lee, Hyung-Jeong Yang
{"title":"RoutingConvNet: A Light-weight Speech Emotion Recognition Model Based on Bidirectional MFCC","authors":"Hyun Taek Lim, Soo-Hyung Kim, Gueesang Lee, Hyung-Jeong Yang","doi":"10.30693/smj.2023.12.5.28","DOIUrl":"https://doi.org/10.30693/smj.2023.12.5.28","url":null,"abstract":"In this study, we propose a new light-weight model RoutingConvNet with fewer parameters to improve the applicability and practicality of speech emotion recognition. To reduce the number of learnable parameters, the proposed model connects bidirectional MFCCs on a channel-by-channel basis to learn long-term emotion dependence and extract contextual features. A light-weight deep CNN is constructed for low-level feature extraction, and self-attention is used to obtain information about channel and spatial signals in speech signals. In addition, we apply dynamic routing to improve the accuracy and construct a model that is robust to feature variations. The proposed model shows parameter reduction and accuracy improvement in the overall experiments of speech emotion datasets (EMO-DB, RAVDESS, and IEMOCAP), achieving 87.86%, 83.44%, and 66.06% accuracy respectively with about 156,000 parameters. In this study, we proposed a metric to calculate the trade-off between the number of parameters and accuracy for performance evaluation against light-weight.","PeriodicalId":249252,"journal":{"name":"Korean Institute of Smart Media","volume":"157 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117349699","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Research on the Zero Trust Trend Analysis and Enterprise Security Enhancement","authors":"Min Gyu Kim, Chanyoung Kang, Sokjoon Lee","doi":"10.30693/smj.2023.12.5.46","DOIUrl":"https://doi.org/10.30693/smj.2023.12.5.46","url":null,"abstract":"As the COVID-19 pandemic and the development of IT technology have led to the gradual popularization of remote and telecommuting, cloud computing technology is advancing, and cyber attack techniques are becoming more sophisticated and advanced. In response to these trends, companies are increasingly moving away from traditional perimeter-based security and adopting Zero Trust to strengthen their security. Zero Trust, based on the core principle of doubting and not trusting everything, identifies all traffic and grants access permissions through a strict authentication process to enhance security. In this paper, we analyze the background of Zero Trust adoption and the adoption policies and trends of countries that are proactively promoting its implementation. Additionally, we propose necessary efforts from governments and organizations to strengthen corporate security and considerations for companies when applying Zero Trust.","PeriodicalId":249252,"journal":{"name":"Korean Institute of Smart Media","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128132871","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}