• Title/Summary/Keyword: Game Recommendation

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Game Recommendation System Based on User Ratings (사용자 평점 기반 게임 추천 시스템)

  • Kim, JongHyen;Jo, HyeonJeong;Kim, Byeong Man
    • Journal of Korea Society of Industrial Information Systems
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    • v.23 no.6
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    • pp.9-19
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    • 2018
  • As the recent developments in the game industry and people's interest in game streaming become more popular, non-professional gamers are also interested in games and buying them. However, it is difficult to judge which game is the most enjoyable among the games released in dozens every day. Although the game sales platform is equipped with the game recommendation function, it is not accurate because it is used as a means of increasing their sales and recommending users with a focus on their discount products or new products. For this reason, in this paper, we propose a game recommendation system based on the users ratings, which raises the recommendation satisfaction level of users and appropriately reflect their experience. In the system, we implement the rate prediction function using collaborative filtering and the game recommendation function using Naive Bayesian classifier to provide users with quick and accurate recommendations. As the result, the rate prediction algorithm achieved a throughput of 2.4 seconds and an average of 72.1 percent accuracy. For the game recommendation algorithm, we obtained 75.187 percent accuracy and were able to provide users with fast and accurate recommendations.

Intelligent Vocabulary Recommendation Agent for Educational Mobile Augmented Reality Games (교육용 모바일 증강현실 게임을 위한 지능형 어휘 추천 에이전트)

  • Kim, Jin-Il
    • Journal of Convergence for Information Technology
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    • v.9 no.2
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    • pp.108-114
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    • 2019
  • In this paper, we propose an intelligent vocabulary recommendation agent that automatically provides vocabulary corresponding to game-based learners' needs and requirements in the mobile education augmented reality game environment. The proposed agent reflects the characteristics of mobile technology and augmented reality technology as much as possible. In addition, this agent includes a vocabulary reasoning module, a single game vocabulary recommendation module, a battle game vocabulary recommendation module, a learning vocabulary list Module, and a thesaurus module. As a result, game-based learners' are generally satisfied. The precision of context vocabulary reasoning and thesaurus is 4.01 and 4.11, respectively, which shows that vocabulary related to situation of game-based learner is extracted. However, In the case of satisfaction, battle game vocabulary(3.86) is relatively low compared to single game vocabulary(3.94) because it recommends vocabulary that can be used jointly among recommendation vocabulary of individual learners.

A Study on the Influence of Franchise PC Game Rooms Store Attributes on Store Selection Behavior (프랜차이즈 피씨방 점포선택속성이 점포선택행동에 미치는 영향)

  • Seong, Baiksoon
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.11 no.3
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    • pp.231-240
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    • 2015
  • This study empirically analyzed the relationship between the franchise pc game rooms selection behavior and revisit, recommendations. Select Properties from the franchise pc game rooms store is ease of access, computer specifications, pleasant environment, brand power and pricing strategy. Korean franchise industry is in spite of the short history of just over 30 years growing very fast. Especially pc game rooms store is 14,782 in 2012 years, pc game rooms store is operated by franchise form 10.6%, 87.9% operated by private, co-operation was confirmed at 1.5%. Conclusions are as follows. First, factors that significantly affect the degree of revisit has been identified as computer specifications, pleasant environment, brand power. Second, the recommendation is an important factor of the computer specifications, brand power, pricing strategy. Finally, franchise pc game rooms successful strategy has excellent computer's specifications, it needs a promotion strategy to attract pc game tournaments to be notified of brand power. We can also see that running is an important factor in a pleasant environment and a flexible pricing strategy.

The Effect of Motivation for Using Mobile Social Network Games on the Game Attitude, Continuous Use Intention and Intention to Recommend the Game (모바일 소셜 네트워크 게임 이용 동기가 게임태도와 지속적 이용의도 및 추천의도에 미치는 영향)

  • Youm, Dong-sup
    • Journal of Digital Convergence
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    • v.15 no.1
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    • pp.453-459
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    • 2017
  • This study was conducted to review the usage behavior of mobile social network games that are attracting attention as a new growth engine in the game market. To that end, a survey was conducted on 250 male and female university students. The result of the study showed that first, the relationship formation motivation and seeking fun during leisure times in association with mobile social network games had a positive effect on game attitudes. Second, the relationship formation motivation had a positive effect on the continuous use intention. Third, the relationship formation motivation and the fun-seeking motivation had a positive effect on word-of-mouth recommendation, while the relationship formation motivation and advertisement recommendation motivation had a positive effect on the intention to recommendation online formats. Fourth, the attitude towards mobile social network games had a positive effect on the continuous use intention. Lastly, the attitude towards mobile social network games had a positive effect on only the intention to recommendation through word-of-mouth. This study is expected to provide useful and basic data for the development of quality game content that will cater to users' needs.

AHP-Based Recommendation System of Mobile Games Reflecting User Preferences (사용자 선호도를 반영한 AHP 기반 모바일 게임 추천 시스템)

  • Oh, Jae-Taek;Lee, Sang-Yong
    • Journal of Digital Convergence
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    • v.15 no.1
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    • pp.427-433
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    • 2017
  • Mobile game users tend to value the opinions from their friends or SNS when making a decision on which game to play. This is because they are not satisfied with the information on suggestions provided by the conventional mobile game recommendation systems. In this research, we made a system that can reflect user preference directly by using Analytic Hierarchy Process(AHP). In the system, the hierarchy of AHP is composed of final goal(Level 1), evaluation basis(Level 2) and alternative(Level 3). And the system is made up of an input module, an AHP processing module, a recommendation module and database. Through comparison analysis with two conventional systems to test the performance of the system, we could find that the system got more higher satisfaction than the other systems.

Mobile Shooting Game with Intuitive UI and Recommendation function (직관적 UI와 추천 기능을 가진 모바일 슈팅 게임)

  • Junsu Kim;Kuil Jung;Seokjun Yoon;In-Hwan Jung;Jae-Moon Lee;Kitae Hwang
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.23 no.5
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    • pp.191-197
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    • 2023
  • Mobile shooting games are a representative example of PC games being transferred as they are. In the most mobile shooting games, joystick-like UI used in PC games have been moved to touch buttons, but the display is small, so the user's fingers cover the game screen, which is inconvenient. In mobile shooting games, in order to overcome the limitations of the small display and increase the immersion of the game, this paper introduces a user interface that integrates character movement and aiming, and intuitive UIs such as display rotation, shaking, and vibration. In addition, by analyzing the match process for each round, the character's insufficient abilities are identified and synergies to supplement the abilities are recommended in order to add fun to the game. This paper proved that the proposed goals are achieved by actually designing and implementing a mobile shooting game with the proposed functions on an Android smartphone.

An Artificial Neural Network-based Hero Character Recommendation Training Indirect Information of Overwatch Game (오버워치 게임의 간접 정보를 학습한 인공신경망 기반 영웅 캐릭터 추천)

  • Kim, Sang Won;Jung, Sung Hoon
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2017.01a
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    • pp.155-156
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    • 2017
  • 본 논문에서는 블리자드 회사에서 제작한 게임 중 하나인 오버워치(Overwatch)에서 게임의 간접정보를 학습하여 플레이어에게 유리한 영웅 캐릭터를 추천해주는 인공신경망 기반 영웅 캐릭터 추천 방법을 제안한다. 오버워치에서 게임 맵별로 적군 캐릭터와 아군 캐릭터가 선정되었을 때 플레이어가 어떤 영웅캐릭터를 선정하면 승률에 좋은지를 알기가 어렵다. 본 논문에서는 플레이어의 영웅캐릭터 선정을 도와주기위하여 오버워치 게임의 간접정보를 기반으로 학습데이터를 만들어 인공신경망을 학습한 후 학습한 인공신경망을 이용하여 영웅캐릭터를 추천한다. 실험결과 인공신경망이 추천하는 영웅캐릭터가 적절한 캐릭터임을 확인하였다.

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Collective Sentiments and Users' Feedback to Game Contents : Analysis of Mobile Game UX based on Social Big Data Mining (집단 감성과 모바일 게임 사용경험 : 카카오게임 사례연구)

  • Cheon, Youngjoon;Kwak, Kyu Tae
    • Journal of Korea Game Society
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    • v.15 no.4
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    • pp.145-156
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    • 2015
  • Existing researches have been limited to one-dimensional analysis of game experience (enjoyment, addictive user, usability). However, we considered to analyze complex sentiments of mobile game users due to diffusion of multitasking in these days. In this study, We focused on 'collective sentiments' of mobile game users and studied 'connected emotions and mental model' of them. To support theoretical assumption, we analyzed social data which reflect intention and unintended behavior of users. As a result, multiple consumption of service, diversified patterns of information recommendation and quest experience based on networking were critical to mobile game UX.

The Effects of Game User's Social Capital and Information Privacy Concern on SNGReuse Intention and Recommendation Intention Through Flow (게임 이용자의 사회자본과 개인정보제공에 대한 우려가 플로우를 통해 SNG 재이용의도와 추천의도에 미치는 영향)

  • Lee, Ji-Hyeon;Kim, Han-Ku
    • Management & Information Systems Review
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    • v.37 no.4
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    • pp.21-39
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    • 2018
  • Today, Mobile Instant Message (MIM) has become a communication means which is commonly used by many people as the technology on smart phones has been enhanced. Among the services, KakaoGame creates much profits continuously by using its representative Kakao platform. However, even though the number of users of KakaoGame increases and the characteristics of the users are more diversified, there are few researches on the relationship between the characteristics of the SNG users and the continuous use of the game. Since the social capital that is formed by the SNG users with the acquaintances create the sense of belonging, its role is being emphasized under the environment of social network. In addition, game user's concerns about the information privacy may decrease the trust on a game APP, and it also caused to threaten about the game system. Therefore, this study was designed to examine the structural relationships among SNG users' social capital, concerns about the information privacy, flow, SNG reuse intention and recommendation intention. The results from this study are as follow. First of all, the participants' bridging social capital had a positive effect on the flow of an SNG, but the bonding social capital had a negative effect on the flow of an SNG. In addition, awareness of information privacy concern had a negative effects on the flow of an SNG, but control of information privacy concern had a positive effect on the flow of an SNG. Lastly, the flow of an SNG had a positive effect on the reuse intention and recommendation intention of an SNG. Also, reuse intention of an SNG had a positive effect on the recommendation intention. Based on the results from this study, academic and practical implications can be drawn. First, This study focused on KakaoTalk which has both of the closed and open characteristics of an SNS and it was found that the SNG user's social capital might be a factor influencing each user's behaviors through the user's flow experiences in SNG. Second, this study extends the scope of prior researches by empirically analysing the relationship between the concerns about the SNG user's information privacy and flow of an SNG. Finally, the results of this research can provide practical guidelines to develop effective marketing strategies considering them for SNG companies.

An Empirical Study on the Influential Factors to User's Continuos Usage and Recommendation of SmartPhone-Games (구조방정식을 이용한 스마트폰 게임의 지속적 사용의도와 추천에 미치는 영향에 관한 실증적 연구)

  • Kwon, Hyeog-In;Kim, Ho-Il;Choi, Yong-Seok
    • Journal of Korea Game Society
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    • v.11 no.6
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    • pp.115-125
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    • 2011
  • Recently, a sharp increases of users of smartphone is not only cause an rapid growth smartphone-games market, but also secured it's position as a high value market. thus have to begets a multilateral study to the smartphone of newly-rising. however the earlier studies were researched previous smartphone, despite extended research is needed for smartphone-games. therefore the study's purpose is to draw a main factors it has a decisive effect for recommendation and sustainable-usage through recognizing the cause-and-effect relationship with purchase intention, purchase action, satisfaction, recommendation, and sustainable usage that based purchase-effect-factors of smartphone-games. for this study the questionnaire of 293 was taken. and structural equation model was adopted to analyze this study.