• Korean Journal of Cognitive Science
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• v.19 no.4
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• pp.459-476
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• 2008

The user needs to find the answer to your question is growing fast at the service using collective intelligent knowledge. In the previous researches, it was proven that the non-text information like view counting, referrer number, and number of answer is good in evaluating answers. There were also many works about evaluating answers using the various kinds of word dictionaries. In this work, we propose new method to evaluate answers to question effectively using user reputation that estimated by the social activity. We use a modified PageRank algorithm for estimating user reputation. We also use the similarity between question and answer. From the result of experiment in the Naver GisikiN corpus, we can see that the proposed method gives meaningful performance to complement the answer selection rate.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.6 no.9
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• pp.2285-2301
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• 2012

Peer-to-Peer (P2P) networks are becoming more and more popular in video content delivery services, such as Video on Demand (VoD). Scalability feature of P2P allows a higher number of simultaneous users at a given server load and bandwidth to use stream service. However, the quality of service (QoS) in these networks is difficult to be guaranteed because of the free-riding problem that nodes download the recourses while never uploading recourses, which degrades the performance of P2P VoD networks. In this paper, a distributed trust model is designed to reduce node's free-riding phenomenon in P2P VoD networks. In this model, the P2P network is abstracted to be a super node hierarchical structure to monitor the reputation of nodes. In order to calculate the reputation of nodes, the Hidden Markov Model (HMM) is introduced in this paper. Besides, a distinction algorithm is proposed to distinguish the free-riders and malicious nodes. The free-riders are the nodes which have a low frequency to free-ride. And the malicious nodes have a high frequency to free-ride. The distinction algorithm takes different measures to response to the request of these two kinds of free-riders. The simulation results demonstrate that this proposed trust model can improve QoS effectively in P2P VoD networks.

• Journal of the Korean Society of Clothing and Textiles
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• v.28 no.7
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• pp.1007-1018
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• 2004

Luxury fashion brand business is one of the most successful global businesses in these days. The luxury fashion brands with strong brand power permeates through various regions of the world with high added value and buying power. This study was conducted to determine the dimensions of the luxury fashion brand equity so that the fashion marketers can develop strategies to increase their brand power. ID find out the dimensions of the luxury fashion brand equity, qualitative as well as quantitative research methods were employed. Qualitative research was conducted by interviewing 12 consumers who were loyal to the luxury fashion brands. A total of ten dimensions(uniqueness, sophistication, display, economical and utility value, overall pleasure, satisfaction, reputation, trust respect, social acceptance) were identified as a result of the literature review and the qualitative analysis, and a questionnaire was developed based on them. The questionnaire was administered to 250 subjects and the responses were analyzed by factor analysis to confirm the dimensions empirically. As a result of factor analysis, 7 dimensions of fashion luxury brand equity are ＇chic and pleasure＇, ＇trust＇, ＇distinction＇, ＇reputation＇, ＇economical and utility value＇, ＇social acceptance＇, and ＇status＇. First, ＇reputation＇, ＇economical and utility value＇ and ＇social acceptance＇ are similar to the result of the literature review and the qualitative analysis. Next, ＇Chic and pleasure＇ included ＇overall pleasure＇,＇display＇and＇sophistication＇that were identified previously. We knew that People would expect emotional responses such as display through luxury fashion brand. ＇Trust＇ included ＇trust＇ and ＇satisfaction＇ that were identifed previously. ＇Distinction＇ included ＇uniqueness＇ and ＇respect＇ that were identifed previously. Finally, ＇status＇ included ＇sophistication＇ and ＇reputation＇ It seemed that the concept of ＇sophistication＇ was near symbolic rather than descriptive.

• Journal of Digital Convergence
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• v.14 no.3
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• pp.127-134
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• 2016

Regarding CSR activities of companies in the convergence era, this study tried to find out how CSR activities, image, and reputation would affect the purchase. A total of 200 questionnaires targeting citizens residing in Daegu, Gyeongsang Province were used and it found an alternative on how to establish marketing strategy through CSR activities in the convergence era. First, CSR activities have a positive effect on the purchase intention. Second, corporate image will mediate the degree of corporate CSR activities and purchases. Third, corporate reputation will mediate the degree of corporate CSR activities and purchases. CSR activities have become essential, not an option, and the company that fulfills its social responsibility appears to be loved as seen in the market performance.

• The Journal of the Korea Contents Association
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• v.6 no.11
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• pp.25-37
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• 2006

The purpose of this study examines the interrelationships among antecedents and consequences of privacy concern on the online-shopping mall. Based on relevant literature review, a customer's attitude toward direct marketing, a customer's desire to information control, and a customer's prediction of negative effect as antecedents that affect the privacy concern. Also, consequences are a firm's reputation and a customer's purchase experience. Then related hypotheses were tested using data from 165 online shopping mall customer. The results for empirical analysis are as follows; 1) a customer's attitude toward direct marketing affected negatively the privacy concern, 2) a customer's desire to information control and a customer's prediction of negative effect affected positively the privacy concern, 3) a firm's reputation negatively related to the privacy concern, 4) a customer's purchase experience positively related to a firm's reputation.

• The KIPS Transactions:PartC
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• v.16C no.2
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• pp.143-150
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• 2009

In trust-based networks, it is very important how to decide a node is trustworthy when one node performs communications with other node. In current networks based on trust, a node creates a new trust value from observation and then establishes an intercommunication path through the process of evaluating a targeted communication node. In our paper, we propose four trust models in which a new node enters a cluster and finds a target node to create a communication in ad-hoc networks. The proposed models have been classified according to the existence of reputation server and the trust evaluation functions. Through the proposed model, we found that new node finds target node more quickly in which there exists a reputation server in the cluster and considers neighbor node's recommendation as well as own experience information when calculates trust values. As our performance analysis, we focus the communication delay time to generate a final trust value for each trust model.

• The KIPS Transactions:PartA
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• v.12A no.6 s.96
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• pp.493-498
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• 2005

P2P service is a method that can share various information through direct connection between computer of a person who have information and a Person who have information without server in the Internet and it is getting a lot of popularity by method for free ex change of file. P2P file sharing systems have become popular as a new paradigm for information exchange. Because all users who use service in P2P file sharing system can use shared files of several users freely by equal access privilege, it is happening the 'free rider' that only download shared file of other users without share own files. Although a user share a malicious file including virus, worm or file that have title differing with actuality contents, can use file sharing service without limitation. In this paper, we propose a method that restrict access of 'free rider' that only download using reputation information that indicate reliability of user. Also, we restrict usage ons hared file of other users about users who share harmful file.

• Korean Journal of Community Nutrition
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• v.5 no.2
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• pp.225-235
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• 2000

Service quality has become an important factor to meet customer satisfaction in the food service industry where competition is getting severe. Organizations are focused upon strengthening customer loyalty through customer satisfaction. Therefore, this study, taking customers as subjects, is intended to analyze factors affecting customer loyalty, on the basis of service quality satisfaction. In doing. so, the analysis has been done with 232 customers who are purchasing service from the food services industry, for general information, and service quality expectation, service quality satisfaction and overall satisfaction. The results of the study are as below. 1) From a factor analysis, the service quality expectation level of customer has been categorized into 4 factors, which are named General ′General management ′, ′Food′, ′Reliability′and ′Reputation′. 2) From the factor analysis, the service quality satisfaction level of customer has been categorized into 6 factors, which are named ′Employee attitude′, ′Food′, ′Reliability′, ′Atmosphere′, ′Reputation′ and ′Price′. 3) After classifying customers into 3 groups according to two criteria-"will buy the service again" and "will suggest to others", a comparison has been done for the service quality expectation dimension of customers by each customer group. The result shows that the group having both the "will buy the service again" and "will buy the service again "and "will suggest to others" criteria, that is, with higher customer loyalty, tend to have higher point than other group in factors of ′Food′, ′Reliability′, ′Reputation′(p〈.05). 4) As per the dimension of customer\`s service quality satisfaction level, factors like ′Employee attitude′, ′Food′, ′Reliability′, ′Atmosphere′, ′Reputation′, and ′Price′have shown differences according to each loyalty group(P〈.001). 5) Customers′overall satisfaction level according to each customer loyalty group has been found to be more important for the group having a higher loyalty level(p〈.001) 6) From the discriminant analysis with employing judging variables, such as the customer′s service quality expectation level, service quality satisfaction level and general satisfaction level, customer loyalty groups have been identified as accurately as 68.9% of the explanatory power.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.19 no.7
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• pp.1568-1576
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• 2015

This paper proposes a prediction reputation system for the anti-SPIT solution in real-time VoIP environment. Increased accuracy of the determination as to whether spam or not by deriving a threshold based on SPIT presence in the existing paper. The existing schemes need to get the user's feedback and/or have experienced the time delay and overload as session initiates due to real-time operation. To solve these problems, the proposed scheme predicts the reputation through the statistical analysis based on the period of session initiation of each caller and the call duration of each receiver. As per the second mentioned problem, this scheme performs the prediction before session initiation, therefore, it's proper for real-time VoIP environment.

• Journal of Distribution Science
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• v.8 no.2
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• pp.45-51
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• 2010

This purpose of research is to examine in blog characteristics. To realize the purpose of this study, above all it is nessary to analyse the varius blog characteristics. As like blog reputation, blog unification with buyer, blog information value, and blog interactivity. how to blog characteristics influence on credibility and satisfaction as relationship quality in blog. and presenting goods and brand I n blog, How to influence to buyer intention affect related review results of precedent study about blog research, famed design model and set in connected a hypothesis. result of hypothesis verify in blog characteristics, it is supported a hypothesis blog's supplying information value, blog characteristics. supported a hypothesis blog credibility. The factor on the effect of blog satisfaction is revealed blog unification and blog information value, But blog reputation is effect on blog satisfaction negatively. Even if blog reputation became known others and higher reputation. it is not agree with blog satisfaction. the satisfaction of blog's user is associated with blog credibility. introducing satisfaction of goods and service in blog is not influence buyer buying intention, but buyer credibility of blog is influence buyer's buying intention,