• 한국체육학회지인문사회과학편
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• v.56 no.1
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• pp.53-65
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• 2017

This study was conducted to examine how marine sport event visitors' satisfactions and city image effect on revisit and recommendation. To do this, we analyzed the socio-statistical characteristics of spectators, and examined the influence relationship among city image, satisfaction, revisit and recommendation intention. The results were as follows: First, 'family and relatives' as the companions of spectators of yacht competition were the most, and the route of acquiring the competition information was 'the other', in other words, that most of the respondents learned directly in the field, and 'car' as transportation means was the most. In addition, "local tourism" as watching purposes was the most and 'the day' as the period of stay was the most. Second, the image and satisfaction of spectators of yacht competition showed significant influence on revisit and recommendation intention. Specifically, program satisfaction and program agent satisfaction, which are a sub-factors of satisfaction, have a significant positive effect on revisit and recommendation intention. Through these research results, we were able to confirm inadequacy(lack of attractiveness, connections and public relations) of this event, and see what parts should be improved in order to be born again a sustainable event.

• KIISE Transactions on Computing Practices
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• v.22 no.10
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• pp.504-512
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• 2016

In this paper, we propose a personalized event recommendation scheme using user's activity analysis and collaborative filtering in social network environments. The proposed scheme predicts un-evaluated attribute values through analysis of user activities, relationships, and collaborative filtering. The proposed scheme also incorporates a user's recent preferences by considering the recent history for the user or context-aware information to precisely grasp the user's preferences. As a result, the proposed scheme can recommend events to users with a high possibility to participate in new events, preventing indiscriminate recommendations. In order to show the superiority of the proposed scheme, we compare it with the existing scheme through performance evaluation.

• KIPS Transactions on Computer and Communication Systems
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• v.13 no.1
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• pp.10-20
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• 2024

As the online commerce market continues to expand with an increase of diverse products and content, users find it challenging in navigating and in the selection process. Thereafter both platforms and shopping malls are actively working in conducting continuous research on recommendations system to select and present products that align with user preferences. Most existing recommendation studies have relied on user data which is relatively easy to obtain. However, these studies only use a single type of event and their reliance on time dependent data results in issues with reliability and complexity. To address these challenges, this paper proposes a recommendation system that analysis user preferences in consideration of the relationship between various types of event data. The proposed recommendation system analyzes the correlation of multiple events, extracts weights, learns the recommendation model, and provides recommendation services through it. Through extensive experiments the performance of our system was compared with the previously studied algorithms. The results confirmed an improvement in both complexity and performance.

• Proceedings of the KSRS Conference
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• 2004.10a
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• pp.276-279
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• 2004

The location-based service is one of the most powerful services in the mobile area. The location-based service provides information service for moving user's location information and information service using wire / wireless communication. In this paper, we propose a model for personalized recommendation system which includes location information and personalized recommendation system for location-based service. For this service system, we consider mobile clients that have a limited resource and low bandwidth. Because it is difficult to input the words at mobile device, we must deliberate it when we design the interface of system. We design and implement the personalized recommendation system for location-based services(advertisement, discount news, and event information) that support user's needs and location information. As a result, it can be used to design the other location-based service systems related to user's location information in mobile environment. In this case, we need to establish formal definition of moving objects and their temporal pattern.

• Proceedings of the Korean Nuclear Society Conference
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• 1995.10a
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• pp.272-277
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• 1995

The current direction of emergency procedures for CANDU reactors is reviewed and compared based on scope, methodology and format preponderantly, and an attempt is made to integrate these procedures. As a result, a recommendation for Wolsong 2, 3 & 4 emergency procedures is presented as event-specific procedures, generic procedure and whose format is combination of logic diagram and technical basis document.

• Journal of KIISE:Computing Practices and Letters
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• v.16 no.12
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• pp.1244-1248
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• 2010

The previous study of Digital Broadcasting Recommendation system is based on user explicit profiling information. But user profile is always changing and the exact extraction of user profile is very important in recommendation system like Digital TV using many user interactions. This paper is studied of realtime user profiles aggregation through user remote controller input and matching this profiles with contents meta-data like contents genre information, event information, content viewing time. It is not used commercial database system and network communication solution considering embedded system hardware restriction. And it is considered people want different content genre based on watching time. From the results of this paper, there are improvement of user satisfaction of contents recommendation.

• Journal of Advanced Navigation Technology
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• v.13 no.4
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• pp.566-576
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• 2009

The primary purpose of this study is not only to understand the concept of event service quality but also to identify the service experimental factor for the better measure of sales promotion event service quality. The major findings from the study were as follows: There was difference influence power in event service quality, the experimental factor is more important than prior service quality factors such as reliability, assurance, tangibles, empathy and responsiveness. Also, customer's satisfaction was influenced by their behavioral intention such as overall reusing intention and recommendation intention. In conclusion, this study is especially meaningful that experimental factor is more important than prior service quality factors and will help the airline marketing staff in charge to build up their strategy for maintaining customer. And it is hoped that this study has been helpful to comprehend relationship among the service quality factor that have strong effects on increasing airline's profitability.

• Journal of the Korea Society of Computer and Information
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• v.29 no.2
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• pp.51-59
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• 2024

This study examines the relationship between the release of the news and the individual stock returns. Investors utilize a variety of information sources to maximize stock returns when establishing investment strategies. News companies publish their articles based on stock recommendation reports of analysts, enhancing the reliability of the information. Defining release of a stock-recommendation news article as an event, we examine its economic impacts and propose a binary classification model that predicts the stock return 10 days after the event. XGBoost and LightGBM models are applied for the study with accuracy of 75%, 71% respectively. In addition, after categorizing the recommended stocks based on the listed market(KOSPI/KOSDAQ) and market capitalization(Big/Small), this study verifies difference in the accuracy of models across four sub-datasets. Finally, by conducting SHAP(Shapley Additive exPlanations) analysis, we identify the key variables in each model, reinforcing the interpretability of models.

• Journal of Navigation and Port Research
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• v.37 no.3
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• pp.299-307
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• 2013

The purpose of this study were to analyze the effects of a marine leisure exhibition event(MLEE)'s service quality dissatisfaction levels on complaining behaviors and repurchase intentions and thus to provide fundamental marketing information for the event to be more successful. In order to accomplish such study purposes, this study employed a survey method with a total of 350 visitors to a MLEE hosted by G Province in 2012. The data collected were analyzed using multiple regression analysis and following findings were derived from current study. First, levels of service quality dissatisfaction were ranged from 3.29 point to 3.85 point at 7 point Likert scale. Second, both environment and exhibition facility had a positive effect on visitors' complaining behaviors, and both employee and environment factors had a positive effect on non complaining behavior. Third, only exhibition facility had a negative effect on repurchase behaviors including revisit intention and recommendation intention. Finally, complaining behavior had a negative effect on recommendation intention as well as revisit intention. Such findings provide important marketing information for induce more visitors to a MLEE, which are an index for the event's performance.

• The Journal of the Korea Contents Association
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• v.16 no.9
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• pp.276-285
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• 2016

In the highly competitive cosmetic industry, each cosmetic brand is striving to increase its profit by providing excellent product quality and delightful marketing campaigns. In this regard, this study investigates consumers' post-purchasing decision-making processes. It considers the two critical post-purchasing behaviors as repurchasing intention and recommendation intention. We posit customer satisfaction and brand image as the key antecedents of post-purchasing behaviors. The effects of cosmetic quality, price fairness, and event activities on consumer satisfaction and brand image are examined. We conducted a questionnaire survey of women in their twenties, which are critical groups in consumer life cycle of cometic products. Data collected from 163 female respondents were empirically tested against a theoretical framework using partial least squares. Analysis results found that both consumer satisfaction and brand image significantly influence post-purchasing behaviors, respectively. Especially, brand image has a stronger effect on post-purchasing behaviors than customer satisfaction does. Cosmetic quality and price fairness play an important role on customer satisfaction and brand image. However, event activities significantly affect consumer satisfaction, while they do not significantly influence brand image.