• Title/Summary/Keyword: 소셜 Q&A

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QualityRank : Measuring Authority of Answer in Q&A Community using Social Network Analysis (QualityRank : 소셜 네트워크 분석을 통한 Q&A 커뮤니티에서 답변의 신뢰 수준 측정)

  • Kim, Deok-Ju;Park, Gun-Woo;Lee, Sang-Hoon
    • Journal of KIISE:Databases
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    • v.37 no.6
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    • pp.343-350
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    • 2010
  • We can get answers we want to know via questioning in Knowledge Search Service (KSS) based on Q&A Community. However, it is getting more difficult to find credible documents in enormous documents, since many anonymous users regardless of credibility are participate in answering on the question. In previous works in KSS, researchers evaluated the quality of documents based on textual information, e.g. recommendation count, click count and non-textual information, e.g. answer length, attached data, conjunction count. Then, the evaluation results are used for enhancing search performance. However, the non-textual information has a problem that it is difficult to get enough information by users in the early stage of Q&A. The textual information also has a limitation for evaluating quality because of judgement by partial factors such as answer length, conjunction counts. In this paper, we propose the QualityRank algorithm to improve the problem by textual and non-textual information. This algorithm ranks the relevant and credible answers by considering textual/non-textual information and user centrality based on Social Network Analysis(SNA). Based on experimental validation we can confirm that the results by our algorithm is improved than those of textual/non-textual in terms of ranking performance.

Factors Influencing Knowledge Sharing Activities and Community Activation Efforts in Social Q&A Community : Focused on ZHI HU (소셜 Q&A 커뮤니티에서 지식공유 활동 및 커뮤니티 활성화 노력에 대한 영향요인 : 즈후(知乎)를 중심으로)

  • Bu, Shaoyang;Koh, Joon
    • Journal of Information Technology Services
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    • v.18 no.3
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    • pp.95-115
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    • 2019
  • In recent years, social media that has emerged with the development of network technology has changed the channels of information dissemination. The social Q&A community is a platform for knowledge-sharing activities in a question-and-answer manner based on Web 2.0. In knowledge-sharing activities, valuable new knowledge continues to be produced and will surely bring great benefits to individuals or businesses. In the social Q&A community, the user's subjective factors play a crucial role in influencing the user's continued use and participation in knowledge-sharing activities. In order for users to actively participate in knowledge-sharing activities in the community, it needs to grasp their subjective ideas. This study explores the issue of sharing knowledge by users of the social Q&A community "Zhihu", or how to drive community revitalization efforts from these. The three factors self-efficacy, self-development motivation, and social comparison tendencies were derived, and identify their relationship with knowledge-sharing activities and community-boosting efforts through empirical analysis. In addition, the influence of knowledge acquisition on knowledge provision was investigated through sense of reciprocity. Implications of the study findings and the future research directions were also discussed.

A Study on Mapping Users' Topic Interest for Question Routing for Community-based Q&A Service (커뮤니티 기반 Q&A서비스에서의 질의 할당을 위한 이용자의 관심 토픽 분석에 관한 연구)

  • Park, Jong Do
    • Journal of the Korean Society for information Management
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    • v.32 no.3
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    • pp.397-412
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    • 2015
  • The main goal of this study is to investigate how to route a question to some relevant users who have interest in the topic of the question based on users' topic interest. In order to assess users' topic interest, archived question-answer pairs in the community were used to identify latent topics in the chosen categories using LDA. Then, these topic models were used to identify users' topic interest. Furthermore, the topics of newly submitted questions were analyzed using the topic models in order to recommend relevant answerers to the question. This study introduces the process of topic modeling to investigate relevant users based on their topic interest.

An Influence Value Algorithm based on Social Network in Knowledge Retrieval Service (지식검색 서비스에서의 소셜 네트워크 기반 영향력 지수 알고리즘)

  • Choi, Chang-Hyun;Park, Gun-Woo;Lee, Sang-Hoon
    • Journal of the Korea Society of Computer and Information
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    • v.14 no.10
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    • pp.43-53
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    • 2009
  • Knowledge retrieval service that uses collective intelligence which has special quality of open structure and can share the accumulative data is gaining popularity. However, acquiring the right needs for users from massive public knowledge is getting harder. Recently, search results from Google which is known for it's exquisite algorism, shows results for collective intelligence such as Wikipedia, Yahoo Q/A at the highest rank. Objective of this paper is to show that most answers come from human and to find the most influential people in on-line knowledge retrieval service. Hereupon, this paper suggest the influence value calculation algorism by analyzing user relation as centrality which social network is based on user activeness and reliance in Naver 지식iN. The influence value calculated by the suggested algorism will be an important index in distinguishing reliable and the right user for the question by ranking users with troubleshooting solutions in the knowledge retrieval service. This will contribute in search satisfaction by acquiring the right information and knowledge for the users which is the most important objective for knowledge retrieval service.

A Study on US Consumer's Subjectivity Schemata of Sharing Economy: Q Methodology (공유경제에 관한 미국 소비자의 주관성 가치체계 연구 : Q 방법론의 적용)

  • Kim, Ki-youn
    • Journal of Internet Computing and Services
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    • v.19 no.4
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    • pp.107-121
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    • 2018
  • The purpose of this study is to explore the present US consumer behavioral trends and various cognitive schema types for sharing economy frame and shared service. For this, by applying Q methodology, this paper theoretically defines three differentiated typologies of US consumer in a interpretive perspective. This study is in-depth focused on discovering and categorizing characteristics of a respondent's thinking structure called 'schemata'. According to the entire procedures of Q methodology, this paper analyzed Q-sorted data from twenty-four people in the basis of forty Q-samples (statements). Consequently, we discovered four consumer groups named as Type 1 'Socialsumer', Type 2 'Smarsumer', Type 3 'Researsumer'.

Community based real time Q&A System (커뮤니티 기반의 실시간 질의응답 시스템)

  • Yoon, WonBeom;Lim, HeuiSeok
    • Annual Conference on Human and Language Technology
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    • 2011.10a
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    • pp.123-125
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    • 2011
  • 본 논문은 스마트 디바이스와 소셜네트워크의 커뮤니티 기능을 활용하여 정보와 지식을 위한 실시간 질의응답 시스템을 제안한다. 정보와 지식의 양이 증가 하고 인터넷과 스마트 디바이스의 발전으로 인하여 지식검색의 필요성이 증대되고 있다. 하지만 현재 컴퓨터는 사용자의 질문을 정확히 이해하고 관련된 답변을 제공해주기 어렵다. 본 논문에서 제안하는 질의응답 시스템은 스마트 디바이스를 이용하고 SNS와 같이 커뮤니티 기반의 서비스를 적용한 실시간 커뮤니티형 질의응답 시스템이다. 사용자의 질문을 분석하여 관심사가 같은 사용자들을 그룹화 하고 관심사가 같은 사용자끼리 질문과 답변을 할 수 있는 서비스를 제공하여 질문과 답변을 효율적으로 주고받을 수 있다. 또한 사용자 피드백을 적용하여 사용자 랭킹을 보여줌으로써 사용자들의 답변률을 향상 시키고 스팸성 답변자에게 제한을 할 수 있는 시스템을 제안한다.

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Information Components of Social Commerce Websites -Focusing on Product, Price, Service, and Seller Information- (소셜커머스 웹사이트의 정보구성요소 -상품, 가격, 서비스, 판매원 정보를 중심으로-)

  • Park, Minjung
    • The Journal of the Korea Contents Association
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    • v.13 no.9
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    • pp.369-381
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    • 2013
  • The purpose of the study was to divide social commerce websites' information into components of product, price, service, and seller information, and to systematically analyze each component of information. A content analysis was used as a research methodology, and 100 webpages from social commerce websites were analyzed. As results, the social commerce websites provided basic information (front view, fabric contents, country of origin, care, color, size) for product information and emphasized price information, including discount rates, sales dues, product quantity, and the amount of products sold. They basically provided expected delivery date, delivery company, Q&A, and return/refund service for service information. In addition, they basically presented brand logo and brand name but need to add information about brand concepts, history and volume as seller information. This study suggested diverse theoretical and practical implications of social commerce information.

Effects of Customers' Relationship Networks on Organizational Performance: Focusing on Facebook Fan Page (고객 간 관계 네트워크가 조직성과에 미치는 영향: 페이스북 기업 팬페이지를 중심으로)

  • Jeon, Su-Hyeon;Kwahk, Kee-Young
    • Journal of Intelligence and Information Systems
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    • v.22 no.2
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    • pp.57-79
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    • 2016
  • It is a rising trend that the number of users using one of the social media channels, the Social Network Service, so called the SNS, is getting increased. As per to this social trend, more companies have interest in this networking platform and start to invest their funds in it. It has received much attention as a tool spreading and expanding the message that a company wants to deliver to its customers and has been recognized as an important channel in terms of the relationship marketing with them. The environment of media that is radically changing these days makes possible for companies to approach their customers in various ways. Particularly, the social network service, which has been developed rapidly, provides the environment that customers can freely talk about products. For companies, it also works as a channel that gives customized information to customers. To succeed in the online environment, companies need to not only build the relationship between companies and customers but focus on the relationship between customers as well. In response to the online environment with the continuous development of technology, companies have tirelessly made the novel marketing strategy. Especially, as the one-to-one marketing to customers become available, it is more important for companies to maintain the relationship marketing with their customers. Among many SNS, Facebook, which many companies use as a communication channel, provides a fan page service for each company that supports its business. Facebook fan page is the platform that the event, information and announcement can be shared with customers using texts, videos, and pictures. Companies open their own fan pages in order to inform their companies and businesses. Such page functions as the websites of companies and has a characteristic of their brand communities such as blogs as well. As Facebook has become the major communication medium with customers, companies recognize its importance as the effective marketing channel, but they still need to investigate their business performances by using Facebook. Although there are infinite potentials in Facebook fan page that even has a function as a community between users, which other platforms do not, it is incomplete to regard companies' Facebook fan pages as communities and analyze them. In this study, it explores the relationship among customers through the network of the Facebook fan page users. The previous studies on a company's Facebook fan page were focused on finding out the effective operational direction by analyzing the use state of the company. However, in this study, it draws out the structural variable of the network, which customer committment can be measured by applying the social network analysis methodology and investigates the influence of the structural characteristics of network on the business performance of companies in an empirical way. Through each company's Facebook fan page, the network of users who engaged in the communication with each company is exploited and it is the one-mode undirected binary network that respectively regards users and the relationship of them in terms of their marketing activities as the node and link. In this network, it draws out the structural variable of network that can explain the customer commitment, who pressed "like," made comments and shared the Facebook marketing message, of each company by calculating density, global clustering coefficient, mean geodesic distance, diameter. By exploiting companies' historical performance such as net income and Tobin's Q indicator as the result variables, this study investigates influence on companies' business performances. For this purpose, it collects the network data on the subjects of 54 companies among KOSPI-listed companies, which have posted more than 100 articles on their Facebook fan pages during the data collection period. Then it draws out the network indicator of each company. The indicator related to companies' performances is calculated, based on the posted value on DART website of the Financial Supervisory Service. From the academic perspective, this study suggests a new approach through the social network analysis methodology to researchers who attempt to study the business-purpose utilization of the social media channel. From the practical perspective, this study proposes the more substantive marketing performance measurements to companies performing marketing activities through the social media and it is expected that it will bring a foundation of establishing smart business strategies by using the network indicators.

Adolescents' Information-seeking Behavior for Gender Identity in a Community-driven Knowledge Site (청소년들의 성 정체성에 관한 지식검색 커뮤니티 정보탐색행태)

  • Yi, Da Jeong;Yi, Yong Jeong
    • Journal of the Korean Society for information Management
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    • v.36 no.4
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    • pp.161-181
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    • 2019
  • People begin to recognize sexual orientation or gender identity in adolescence, and adolescents frequently use an accessible and anonymous anonymity knowledge retrieval community to explore sensitive health information about gender. This study attempted to observe their information search behavior based on questions and answers about adolescents' gender identity in the knowledge retrieval community. First, we wanted to examine their information needs and to investigate what factors they preferred to answer by comparing the characteristics of the answers adopted with the non-adopted answers among the answers provided in the questions they shared. To this end, Naver, Korea's representative knowledge search community. In Knowledge-iN, a total of 358 sets of data were analyzed, consisting of responses adopted over three years from January 2016 to December 2018. As a result, adolescents with concerns about gender identity demanded information about definition or confusion about gender identity. In the responses adopted by the users, the factors that gave empathy and positive feelings were higher than those that were not adopted, whereas the negative responses were higher in the unaccepted answers. This study is meaningful in that it analyzes the information needs and information search behaviors of adolescents with no established gender identity, expands the discussion in the information search field, and confirms cognitive and emotional models for information evaluation of health information users. Also, based on the research results, we propose practical implications for effective information services on gender identity that social media should provide to young people.

Design and Implementation of The Formation of Basic living habits and Basic English Conversation Education Robot for Children in Dual Income Households - focused children over five (맞벌이 가정 자녀를 위한 기초 생활습관 형성 및 기초 영어회화 교육 로봇 설계 및 구현 - 만 5세 이상 아동을 중심으로)

  • Kim, Gyeong-Min;Lee, Kang-Hee
    • The Journal of the Convergence on Culture Technology
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    • v.6 no.1
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    • pp.507-513
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    • 2020
  • This paper aims to design and implement a robot that will help teach children living habits and English conversation education in dual-income families using the open platform robot Q.bo one based on raspberry pi3 of a single board computer. The first function of life habit formation is to help children to wash their hands, to brush their teeth, homework and sleep regularly. The child is then photographed listening to the notification and acting so that the parent can identify and provide feedback. The second basic conversation education feature uses Google's DialogFlow to help children learn English naturally through simple English conversation through the robot. The two-functioning robot allows children from working families to feel secure by printing their parents' voices even when they are not at home. At the same time, it allows them to get into basic lifestyle, to have basic English conversation with robots, and to be interested in English early.