• Title/Summary/Keyword: User analysis

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Design and Analysis of Online Advertising Expenditure Model based on Coupon Download (쿠폰 다운로드를 기준으로 하는 온라인 광고비 모델의 설계 및 분석)

  • Jun, Jung-Ho;Lee, Kyoung-Jun
    • Journal of Intelligence and Information Systems
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    • v.16 no.4
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    • pp.1-19
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    • 2010
  • In offline environment, unlike traditional advertising model through TV, newspaper, and radio, online advertising model draws instantaneous responses from potential consumers and it is convenient to assess. This kind of characteristics of Internet advertising model has driven the growth of advertising model among various Internet business models. There are, conventionally classified, CPM (Cost Per Mile), CPC (Cost Per Click), and CPS (Cost Per Sales) models as Internet advertising expenditure model. These can be examined in manners regarding risks that stakeholders should stand and degree of responsibility. CPM model that is based on number of advertisement exposure is mechanically exposed to users but not actually recognized by users resulting in risk of wasted expenditure by advertisers without any advertising effect. While on aspect of media, CPS model that is based on conversion action is the most risky model because of the conversion action such as product purchase is determined by capability of advertisers not that of media. In this regard, while there are issue of CPM and CPS models disadvantageously affecting only one side of Internet advertising business model value network, CPC model has been evaluated as reasonable both to advertisers and media, and occupied the largest segment of Internet advertising market. However, CPC model also can cause fraudulent behavior such as click fraud because of the competition or dishonest amount of advertising expenditure. On the user aspect, unintentionally accessed advertisements can lead to more inappropriate expenditure from advertisers. In this paper, we suggest "CPCD"(Cost Per Coupon Download) model. This goes beyond simple clicking of advertisements and advertising expenditure is exerted when users download a coupon from advertisers, which is a concept in between CPC and CPS models. To achieve the purpose, we describe the scenario of advertiser perspective, processes, participants and their benefits of CPCD model. Especially, we suggest the new value in online coupon; "possibility of storage" and "complement for delivery to the target group". We also analyze the working condition for advertiser by a comparison of CPC and CPCD models through advertising expenditure simulation. The result of simulation implies that the CPCD model suits more properly to advertisers with medium-low price products rather than that of high priced goods. This denotes that since most of advertisers in CPC model are dealing with medium-low priced products, the result is very interesting. At last, we contemplate applicability of CPCD model in ubiquitous environment.

Learning Material Bookmarking Service based on Collective Intelligence (집단지성 기반 학습자료 북마킹 서비스 시스템)

  • Jang, Jincheul;Jung, Sukhwan;Lee, Seulki;Jung, Chihoon;Yoon, Wan Chul;Yi, Mun Yong
    • Journal of Intelligence and Information Systems
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    • v.20 no.2
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    • pp.179-192
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    • 2014
  • Keeping in line with the recent changes in the information technology environment, the online learning environment that supports multiple users' participation such as MOOC (Massive Open Online Courses) has become important. One of the largest professional associations in Information Technology, IEEE Computer Society, announced that "Supporting New Learning Styles" is a crucial trend in 2014. Popular MOOC services, CourseRa and edX, have continued to build active learning environment with a large number of lectures accessible anywhere using smart devices, and have been used by an increasing number of users. In addition, collaborative web services (e.g., blogs and Wikipedia) also support the creation of various user-uploaded learning materials, resulting in a vast amount of new lectures and learning materials being created every day in the online space. However, it is difficult for an online educational system to keep a learner' motivation as learning occurs remotely, with limited capability to share knowledge among the learners. Thus, it is essential to understand which materials are needed for each learner and how to motivate learners to actively participate in online learning system. To overcome these issues, leveraging the constructivism theory and collective intelligence, we have developed a social bookmarking system called WeStudy, which supports learning material sharing among the users and provides personalized learning material recommendations. Constructivism theory argues that knowledge is being constructed while learners interact with the world. Collective intelligence can be separated into two types: (1) collaborative collective intelligence, which can be built on the basis of direct collaboration among the participants (e.g., Wikipedia), and (2) integrative collective intelligence, which produces new forms of knowledge by combining independent and distributed information through highly advanced technologies and algorithms (e.g., Google PageRank, Recommender systems). Recommender system, one of the examples of integrative collective intelligence, is to utilize online activities of the users and recommend what users may be interested in. Our system included both collaborative collective intelligence functions and integrative collective intelligence functions. We analyzed well-known Web services based on collective intelligence such as Wikipedia, Slideshare, and Videolectures to identify main design factors that support collective intelligence. Based on this analysis, in addition to sharing online resources through social bookmarking, we selected three essential functions for our system: 1) multimodal visualization of learning materials through two forms (e.g., list and graph), 2) personalized recommendation of learning materials, and 3) explicit designation of learners of their interest. After developing web-based WeStudy system, we conducted usability testing through the heuristic evaluation method that included seven heuristic indices: features and functionality, cognitive page, navigation, search and filtering, control and feedback, forms, context and text. We recruited 10 experts who majored in Human Computer Interaction and worked in the same field, and requested both quantitative and qualitative evaluation of the system. The evaluation results show that, relative to the other functions evaluated, the list/graph page produced higher scores on all indices except for contexts & text. In case of contexts & text, learning material page produced the best score, compared with the other functions. In general, the explicit designation of learners of their interests, one of the distinctive functions, received lower scores on all usability indices because of its unfamiliar functionality to the users. In summary, the evaluation results show that our system has achieved high usability with good performance with some minor issues, which need to be fully addressed before the public release of the system to large-scale users. The study findings provide practical guidelines for the design and development of various systems that utilize collective intelligence.

Citizen Satisfaction Model for Urban Parks and Greens - A Transactional Approach in the Case of Anyang City, Korea - (도시공원.녹지의 시민만족도 모형 - 안양시를 사례로 한 교류적 접근 -)

  • Kim, Yoo-Ill;Kim, Jung-Gyu;An, Jin-Sung;Choi, A-Hyun
    • Journal of the Korean Institute of Landscape Architecture
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    • v.38 no.3
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    • pp.62-74
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    • 2010
  • This study aims to examine what factors citizens value in urban parks and green spaces in terms of usage and aesthetic value and to find ways to deal with the changing patterns of user satisfaction for these various green elements. To achieve this, the study developed a dynamic model employing a transactional approach to evaluate environmental quality for 1999 and 2007 in Anyang City as well as a conceptual model of parks and greens satisfaction. This study relied on an empirical study method including the 1999 and 2007 green conditional survey and citizen questionnaires totaling 573 in the year 1999 and 982 in the year 2007. As a result, first, the factor 'urban parks' is the most important factor and 'cityscape' is the second most important factor in parks and greens satisfaction(PGS). Second, PGS in turn causes environmental quality satisfaction(EQS), which is related to two items--'urban livability' and 'aesthetic quality'--in the model. This means that PGS is the intervening variable of urban livability. Third, the factor analysis resulted in six factors: cityscape, urban green, linear facilities, urban parks, riverside green, and urban forest. 'Riverside green' emerged as a factor in 2007 as a result of public participation in the 'Anyang River Revitalization Project'. Fourth, through a transactional view, the environmental changes result in either a change in or stability of public attitude. The levels of satisfaction were elevated but patterns of satisfied-unsatisfied items remained unchanged for most factors. The perception of riverside a greenway and linear surface facilities(pedestrian walkways, biking and jogging trails, etc.) have changed positively. PGS changed significantly in 2007, as a result of urban events and development, including parks, rivers and greenways which were built through the joint effort of the local government and civic participation.

Ecological Management of Sangnim Woods in Hamyang-gun, Korea by Analysis of Ecological Structure (함양 상림의 환경생태적 구조 분석 및 생태적 관리방안1)

  • 한봉호;김종엽;조현서
    • Korean Journal of Environment and Ecology
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    • v.17 no.4
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    • pp.324-336
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    • 2004
  • This study was achieved to present ecological administration plan by analyzing vegetation structure and condition rating class(environmental damage degree) of Sangnim Woods Natural Monument in Hamyang-gun, Korea. In vegetation structure part, actual vegetation was classified by 22 patterns and Quercus serrata Carpinus tschonoskii community(31.8%), Quercus serrata community(14.6%) ranged extensively. Main plant community was 8 types, and is fractionated by 13 plant communities according to stratigraphy development degree it is Quercus serrata community, Quercus serrata Carpinus tschonoskii community, Quercus aliena community, Quercus acutissima community, Carpinus tschonoskii community, Carpinus tschonoskii Quercus serrata community, Zelkova serrata-Quercus serrata community, and Planted area with korean landscape woody plants. Age of old growth trees that diameter of breast height over 38cm was 61∼77years. In condition rating class, area of class 3 was 51,960$m^2$(32.8%), area of class 4 was 6,583$m^2$(3.5%), and area of class 5 was 4,086$m^2$(2.6%) and gross area of class 3∼6 need artificial restoration was 61,619$m^2$(38.9%). Considering actual vegetation, plant community structure, and condition rating class biotope was classified by total 14 types. While distribution area of Queens spp. old growth forest of shrub damaged(51,246$m^2$, 32.4%) and deciduous broad leaved old growth forest of simple-layer structure(19,906$m^2$, 12.6%) is large and that of deciduous broad-leaved old growth forest of multi-layer structure(2,085$m^2$, 1.3%) and Queens spp. old growth forest of multi-layer structure may have to manage with user control by administration plan for stabilization of Sangnim Woods ecosystem for long-term. Also, both vegetation of shrub damaged and simple-layer structure as negative restoration area should be restored for ecological succession and both grassland and planted area with korean woody plants as positive restoration area should be revegetated by using ecological planting model of native vegetation structure in Sangnim Woods.

Public Park Awareness along with Community Garden Cultivation Participation within an Urban Park (도시공원 내 텃밭 경작 참여 여부에 따른 공원 공공성 인식 연구)

  • Nam Koong, Hee;Kim, Seul-Yea;Kang, Eun-Jee;Kim, Yong-Geun
    • Journal of the Korean Institute of Landscape Architecture
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    • v.43 no.1
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    • pp.120-131
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    • 2015
  • This research aimed at understanding recognition of the park's community garden, public evaluation of it, and user awareness of the public enhancement plan. This was based on the problem that arose in the park community garden as public awareness research along with community garden cultivation participation within the urban park. In order to compare recognition differences along with community garden cultivation participation, the researcher conducted an analysis by dividing research participants into a cultivation participant group and non-participant group. As a result first, the cultivation participant group positively recognized the necessity of the community garden compared to the non-participant group. However, they recognized the community garden as a space for private profit, which threatened the public aspect of the park. Second, as a result of evaluating community garden publicness, the non-participant group which was alienated from community garden use, had a negative opinion about the community garden. Third, as a result of researching awareness of the community garden distribution method and consumption to promote publicness of the community garden, the cultivation participant group recognized the community garden as a space for private profit. Therefore, it is necessary for both groups to be aware of the public value of the community garden among the park users for sustainable management and operation. The significance of this research is the direction in the aspect of users to form, manage and operate the community garden in the urban park without damaging publicness of the park or conflicting between the function of the park and the function of the community garden. Henceforth, the researcher expects that this research can be utilized to maintain publicness of the park in respect of formation of the community garden in the park and management and operation.

A study on small stone crafts in the Cho Sun Dynasty (조선조시대 소품 석공예에 관한 연구)

  • 유해철
    • Archives of design research
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    • v.12 no.2
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    • pp.157-168
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    • 1999
  • Stone in the Cho Sun Dynasty has been used as the material of industry arts, widely building materials and an important material for the artistic design. But it has been generally used as an use of practical living Product like, suban, a metal printing type, a fire place, a pillowcase, a pencil case, etc, and ornament with the quality of stone material and the aesthetic view. There are several problems as like size, quantity, delivery and processing method with the stne material according to its variety and selection. Accordingly it has been studied through the whole process of shape, a material selection of design and processing method as well as studying about small stone crafts which were manufactured in the Cho Sun Dynasty, considering these problems. Stone crafts in Cho Sun Dynasty has been widely used as a living tool. There was some what difference on manufacturing purpose on its technique of folk crafts of stone crafts, but, through the research of collected crafts, they were almost the same that social need, user's taste and hobby in those days were reflected in. In the result of analysis as dividing the stone crafts into daily living product, stationery and tool, the major of daily products have been manufactured with emphasis of practicability. And they have been manufactured from agalmatolite for the propose of use. further, kitchen product had no design due to the function and living products which has been used in the main living room has been carved with the decorative expression of the various form by using intaglic, relieve, inlaid technique, etc. For the stationery, it has been characterized with aesthetic point considering the decorative effects & selection of material in accordance with use. A material for manufacturing has been used in the range of agalmtolite, atopaz, a sapphire, white stone etc. As the result of this research, It was noticeable that there was the spleudidness on the expression of design and carving. It was also noticeable that black stone and guanite have been widely esed because it didn't need the delicacy as a tool.

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Personalized Recommendation System for IPTV using Ontology and K-medoids (IPTV환경에서 온톨로지와 k-medoids기법을 이용한 개인화 시스템)

  • Yun, Byeong-Dae;Kim, Jong-Woo;Cho, Yong-Seok;Kang, Sang-Gil
    • Journal of Intelligence and Information Systems
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    • v.16 no.3
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    • pp.147-161
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    • 2010
  • As broadcasting and communication are converged recently, communication is jointed to TV. TV viewing has brought about many changes. The IPTV (Internet Protocol Television) provides information service, movie contents, broadcast, etc. through internet with live programs + VOD (Video on demand) jointed. Using communication network, it becomes an issue of new business. In addition, new technical issues have been created by imaging technology for the service, networking technology without video cuts, security technologies to protect copyright, etc. Through this IPTV network, users can watch their desired programs when they want. However, IPTV has difficulties in search approach, menu approach, or finding programs. Menu approach spends a lot of time in approaching programs desired. Search approach can't be found when title, genre, name of actors, etc. are not known. In addition, inserting letters through remote control have problems. However, the bigger problem is that many times users are not usually ware of the services they use. Thus, to resolve difficulties when selecting VOD service in IPTV, a personalized service is recommended, which enhance users' satisfaction and use your time, efficiently. This paper provides appropriate programs which are fit to individuals not to save time in order to solve IPTV's shortcomings through filtering and recommendation-related system. The proposed recommendation system collects TV program information, the user's preferred program genres and detailed genre, channel, watching program, and information on viewing time based on individual records of watching IPTV. To look for these kinds of similarities, similarities can be compared by using ontology for TV programs. The reason to use these is because the distance of program can be measured by the similarity comparison. TV program ontology we are using is one extracted from TV-Anytime metadata which represents semantic nature. Also, ontology expresses the contents and features in figures. Through world net, vocabulary similarity is determined. All the words described on the programs are expanded into upper and lower classes for word similarity decision. The average of described key words was measured. The criterion of distance calculated ties similar programs through K-medoids dividing method. K-medoids dividing method is a dividing way to divide classified groups into ones with similar characteristics. This K-medoids method sets K-unit representative objects. Here, distance from representative object sets temporary distance and colonize it. Through algorithm, when the initial n-unit objects are tried to be divided into K-units. The optimal object must be found through repeated trials after selecting representative object temporarily. Through this course, similar programs must be colonized. Selecting programs through group analysis, weight should be given to the recommendation. The way to provide weight with recommendation is as the follows. When each group recommends programs, similar programs near representative objects will be recommended to users. The formula to calculate the distance is same as measure similar distance. It will be a basic figure which determines the rankings of recommended programs. Weight is used to calculate the number of watching lists. As the more programs are, the higher weight will be loaded. This is defined as cluster weight. Through this, sub-TV programs which are representative of the groups must be selected. The final TV programs ranks must be determined. However, the group-representative TV programs include errors. Therefore, weights must be added to TV program viewing preference. They must determine the finalranks.Based on this, our customers prefer proposed to recommend contents. So, based on the proposed method this paper suggested, experiment was carried out in controlled environment. Through experiment, the superiority of the proposed method is shown, compared to existing ways.

An Analysis of the Behavior and the Preference of Roof Spaces Depending on Building Types - A Focus on the Case of Seoul, Korea - (건물용도별 옥상공간의 이용행태 및 선호도 분석 - 서울특별시의 사례를 중심으로 -)

  • Kim, Eun-Jin;Jung, Tae-Yeol
    • Journal of the Korean Institute of Landscape Architecture
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    • v.42 no.6
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    • pp.10-20
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    • 2014
  • Today, most roof spaces are being designed as places for resting. The use of the roof spaces needs to be raised otherwise, budgeting or costs involved can be wasteful. A well-made plan is needed to increase the use of the roof spaces. The behavior of and preference for roof spaces could differ depending on building usage because the users of these roof spaces can be different. Therefore, this study selected 4 building types depending on usage: public buildings, educational and research buildings, medical buildings, and commercial buildings. Two buildings that created roof spaces per building type were selected. A survey was undertaken of the user experience of roof spaces on the buildings. The behavior and preference of roof spaces depending on building types were analyzed and the results are as follows. The behavior of using roof spaces regarding purpose, motivation, frequency, and average length of stay were different depending on the building types. In terms of purpose, over all four building types, taking a rest was the primary reason for using roof spaces. However, talking and smoking in public buildings, smoking, taking a walk or stretching, and viewing the exterior landscape in educational and research buildings, taking a walk or stretching and talking in medical buildings, taking care of children and talking in commercial buildings were also important reasons for using roof spaces. The preference of roof space components such as plants, paving materials, and facilities were different depending on the building types. In terms of plants, the users of public buildings preferred herbaceous plants and vegetables/aquatic plants more than the users of other building types. The users of medical buildings preferred vegetables/aquatic plants, and the users of commercial buildings preferred arbores, herbaceous plants, and vegetables/aquatic plants more than the users of other building types. This study provides empirical data for the behavior and the preference of roof spaces depending on building types. These findings could provide new insights into how to increase the use of roof spaces.

A Semantic Classification Model for e-Catalogs (전자 카탈로그를 위한 의미적 분류 모형)

  • Kim Dongkyu;Lee Sang-goo;Chun Jonghoon;Choi Dong-Hoon
    • Journal of KIISE:Databases
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    • v.33 no.1
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    • pp.102-116
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    • 2006
  • Electronic catalogs (or e-catalogs) hold information about the goods and services offered or requested by the participants, and consequently, form the basis of an e-commerce transaction. Catalog management is complicated by a number of factors and product classification is at the core of these issues. Classification hierarchy is used for spend analysis, custom3 regulation, and product identification. Classification is the foundation on which product databases are designed, and plays a central role in almost all aspects of management and use of product information. However, product classification has received little formal treatment in terms of underlying model, operations, and semantics. We believe that the lack of a logical model for classification Introduces a number of problems not only for the classification itself but also for the product database in general. It needs to meet diverse user views to support efficient and convenient use of product information. It needs to be changed and evolved very often without breaking consistency in the cases of introduction of new products, extinction of existing products, class reorganization, and class specialization. It also needs to be merged and mapped with other classification schemes without information loss when B2B transactions occur. For these requirements, a classification scheme should be so dynamic that it takes in them within right time and cost. The existing classification schemes widely used today such as UNSPSC and eClass, however, have a lot of limitations to meet these requirements for dynamic features of classification. In this paper, we try to understand what it means to classify products and present how best to represent classification schemes so as to capture the semantics behind the classifications and facilitate mappings between them. Product information implies a plenty of semantics such as class attributes like material, time, place, etc., and integrity constraints. In this paper, we analyze the dynamic features of product databases and the limitation of existing code based classification schemes. And describe the semantic classification model, which satisfies the requirements for dynamic features oi product databases. It provides a means to explicitly and formally express more semantics for product classes and organizes class relationships into a graph. We believe the model proposed in this paper satisfies the requirements and challenges that have been raised by previous works.

An Implementation of Dynamic Gesture Recognizer Based on WPS and Data Glove (WPS와 장갑 장치 기반의 동적 제스처 인식기의 구현)

  • Kim, Jung-Hyun;Roh, Yong-Wan;Hong, Kwang-Seok
    • The KIPS Transactions:PartB
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    • v.13B no.5 s.108
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    • pp.561-568
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    • 2006
  • WPS(Wearable Personal Station) for next generation PC can define as a core terminal of 'Ubiquitous Computing' that include information processing and network function and overcome spatial limitation in acquisition of new information. As a way to acquire significant dynamic gesture data of user from haptic devices, traditional gesture recognizer based on desktop-PC using wire communication module has several restrictions such as conditionality on space, complexity between transmission mediums(cable elements), limitation of motion and incommodiousness on use. Accordingly, in this paper, in order to overcome these problems, we implement hand gesture recognition system using fuzzy algorithm and neural network for Post PC(the embedded-ubiquitous environment using blue-tooth module and WPS). Also, we propose most efficient and reasonable hand gesture recognition interface for Post PC through evaluation and analysis of performance about each gesture recognition system. The proposed gesture recognition system consists of three modules: 1) gesture input module that processes motion of dynamic hand to input data 2) Relational Database Management System(hereafter, RDBMS) module to segment significant gestures from input data and 3) 2 each different recognition modulo: fuzzy max-min and neural network recognition module to recognize significant gesture of continuous / dynamic gestures. Experimental result shows the average recognition rate of 98.8% in fuzzy min-nin module and 96.7% in neural network recognition module about significantly dynamic gestures.