• The Journal of Society for e-Business Studies
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• v.16 no.3
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• pp.159-168
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• 2011

To identify fraud clicks in the Internet advertisement, existing studies have considered keyword, visit time, and client IP as an independent variable for the standard. These methods have limitations in identifying the fraud clicks that utilize automation tools, for they are methods based on client IP and human activities on the Internet. This paper proposes that fingerprinting values of the variable combination should be used to identify fraud clicks. The proposed model is composed of 3 stages and the fingerprinting values are compared with the other input data at each stage; IP fingerprinting in the first stage, IP and session data fingerprinting in the second stage, and session data and keyword fingerprinting in the third stage. We showed that the proposed model of the fraud click identification is more correct than existing methods through experiments according to the proposed scheme.

• Korean Journal of Fisheries and Aquatic Sciences
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• v.54 no.6
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• pp.989-999
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• 2021

The sound of finless porpoises Neophocaena asiaeorientalis was recorded with an acoustic recorder to confirm their emergence in the South Sea of South Korea in February, June, and November 2020. Sea water temperature and salinity were also measured. In addition, a sighting survey was conducted to observe the behavior of the finless porpoises and the marine environment, and the clicks of the finless porpoises were recorded every day. The results showed that they always emerged in the survey area. The finless porpoises mainly foraged, whereas some played or rested. The water temperature range of areas where the finless porpoises emerged was 7.5-23.5℃. Assuming that the number of clicks corresponds to the number of finless porpoises, the finless porpoises emerged the most during spring. The emergence decreased during winter and was the lowest during autumn. The finless porpoises emerged more during the daytime than during the nighttime in all seasons, indicating a temporal difference in the usage of the survey area. This might be due to the movement of prey organisms according to regional characteristics. A long-term survey and research on habitat use and environment is needed to manage and conserve the finless porpoises.

• Fashion & Textile Research Journal
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• v.25 no.3
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• pp.366-378
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• 2023

Recently, the use of one-person broadcast content for special makeup videos has gained momentum. This study aims to analyze the factors preferred by various age groups as the total number of clicks increase on special makeup videos. It also aims to provide beauty creators with useful data to help them create videos that generate more clicks based on the derived elements. We analyzed previous studies and divided the subjective indicators into place & accessories, editing, model (Y/N), contents and field, and characteristics of the creators. We analyzed top 5 videos from among 257 videos uploaded before July 1, 2020. The subjective indicators were analyzed through a questionnaire survey attempted by 60 respondents in their 10-30s from Jeollanam-do and Gwangju between July 20 to August 31, 2020. The questions majorly focused on intimacy, attractiveness, professionalism, informativity, and playfulness. We analyzed the collected data using SPSS 21.0, and obtained the following results: Informativity, professionalism, attractiveness, and playfulness were considered to be more influential by those aged 10 to 30 years. In particular, factors like visual elements, linguistic characteristics, experts, background music and sound effects, celebrities, product information, and knowhow were most preferred. In fact, it was easy to make videos using these elements. The above results confirmed the utility of such data for beauty-creators-to-be in creating videos that generate more clicks.

• Proceedings of the CALSEC Conference
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• 2005.03a
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• pp.143-148
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• 2005

The purpose of this paper is to analyze pricing strategies between conventional offline retailers and Internet retailers and discuss which strategy is more profitable when a bricks-and-mortar firm transforms into a clicks-and-mortar firm.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.36 no.2
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• pp.74-80
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• 2013

In this study, a novel and flexible recommender system was developed, based on product taxonomy and usage patterns of users. The proposed system consists of the following four steps : (i) estimation of the product-preference matrix, (ii) construction of the product-preference matrix, (iii) estimation of the popularity and similarity levels for sought-after products, and (iv) recommendation of a products for the user. The product-preference matrix for each user is estimated through a linear combination of clicks, basket placements, and purchase statuses. Then the preference matrix of a particular genre is constructed by computing the ratios of the number of clicks, basket placements, and purchases of a product with respect to the total. The popularity and similarity levels of a user's clicked product are estimated with an entropy index. Based on this information, collaborative and content-based filtering is used to recommend a product to the user. To assess the effectiveness of the proposed approach, an empirical study was conducted by constructing an experimental e-commerce site. Our results clearly showed that the proposed hybrid method is superior to conventional methods.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2001.10a
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• pp.79-82
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• 2001

The wide use of Information Technology(IT), especially the rapid diffusion of the internet, brings us a new paradigm, called "Electronic Commerce", or "Digital Economy." The paradigm is regarded as a business strategy essential to organization's competitive advantage. Because very few studies have been performed in the area of e-strategy, especially in the combined strategy of clicks and mortars, a research on this area is needed. The main questions of this study are empirically to validate the usefulness and the applicability of a decision roadmap and to analyze the situation of Korean firms based on the decision roadmap. Major results of this study are as follows; First, there is an evidence that the roadmap can be applied to firms regardless of its industry and size. Second, usefulness of the roadmap is proved since companies that followed the prescription of the decision roadmap showed high degree of satisfaction with online sales amount. Third, Korean firms in general do not achieve the ideal degree of integration (or separation), especially in terms of management and operation. In conclusion, this study provides e-business strategy planners some guidelines about how to achieve right mix of on-line and off-line business.

• Asian Journal of Business Environment
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• v.8 no.3
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• pp.5-12
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• 2018

Purpose - The purpose of current paper is to identify features of advertisements at social media that generate the ad-click and to further identify if these advertisements lead to purchase. If no purchase is made, then reasons for not making purchase are identified. Users' purchase experience after users clicked at advertisements are also studied. Research design, data, and methodology - Research design followed is exploratory research, where various factors leading to ad-clicks and generating purchase at social media platform were explored. Raw data was gathered by means of survey among a sample of 185 respondents in India using online structured questionnaire. GLM model and multinomial regression were used to analyze the data. Results - Several factors including endorsement by friends, advertisement aesthetics, product reviews, and aggressive pricing played major role in generating ad-clicks. Major impediment to purchase on were product misrepresentation in advertisement, false discounts, and site security. Female users clicked more on social media advertisements and made more purchases compared to their male counterpart. Conclusions - Social media advertisements have significant positive effect on buying behavior of online customers. Transactions culminating from social media ad-click generated significant positive experience for social media users. Thus, social media can be effective marketing tool.

• IEIE Transactions on Smart Processing and Computing
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• v.5 no.2
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• pp.117-122
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• 2016

Optimizing the number of ad clicks is a large-scale learning problem that is central to the multi-billion dollar mobile advertising industry. There are currently several optimization methods used, including ad mediation and ad positioning. This paper proposes a new method to optimize mobile advertising by using the ad refresh interval. A new metric, which can measure and compare mobile advertising performance, takes into account time limitations. The results achieved from this optimization study could maximize revenue for mobile advertisers and publishers. This research has high applicability. It also lays out a solid background for future research in this promising area.

• Speech Sciences
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• v.11 no.4
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• pp.143-150
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• 2004

This study was done to compare thresholds between those of Auditory Brainstem Response (ABR) with clicks or tonebursts and Multiple Auditory Steady-State Response (MASTER). The results would give a promising tool for evaluating frequency-specific hearing sensitivity in infants or young children. The correlation coefficient value between the click ABR thresholds and MASTER thresholds at carrier frequencies, 500, 1,000, 2,000 Hz, and 4,000 Hz was obtained at Pearson 0.91, 0.94, 0.93, and 0.91.

• Journal of the Korea Society of Computer and Information
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• v.20 no.3
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• pp.47-56
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• 2015

Automated detection of interesting web pages could be used in many different application domains. Determining a user's interesting web pages can be performed implicitly by observing the user's behavior. The task of distinguishing interesting web pages belongs to a classification problem, and we choose white box learning methods (fixed effect logit regression and support vector machine) to test empirically. The result indicated that (1) fixed effect logit regression, fixed effect SVMs with both polynomial and radial basis kernels showed higher performance than the linear kernel model, (2) a personalization is a critical issue for improving the performance of a model, (3) when asking a user explicit grading of web pages, the scale could be as simple as yes/no answer, (4) every second the duration in a web page increases, the ratio of the probability to be interesting increased 1.004 times, but the number of scrollbar clicks (p=0.56) and the number of mouse clicks (p=0.36) did not have statistically significant relations with the interest.