• Asia pacific journal of information systems
• /
• v.34 no.1
• /
• pp.226-247
• /
• 2024

Most studies on recommender systems to evaluate recommendation performances focus on offline evaluation methods utilizing past customer transaction records. However, evaluating recommendation performance through real-world stimulation becomes challenging. Moreover, such methods cannot evaluate the duration of the recommendation effect. This study measures the personalized recommendation (stimulus) effect when the product recommendation to customers leads to actual purchases and evaluates the duration of the stimulus personalized recommendation effect leading to purchases. The results revealed a 4.58% improvement in recommendation performance in the online environment compared with that in the offline environment. Furthermore, there is little difference in recommendation performance in offline experiments by period, whereas the recommendation performance declines with time in online experiments.

• Journal of Intelligence and Information Systems
• /
• v.16 no.4
• /
• pp.195-211
• /
• 2010

An exhibition is defined as market events for specific duration to present exhibitors' main product range to either business or private visitors, and it also plays a key role as effective marketing channels. Especially, as the effect of the opinions of the visitors after the exhibition impacts directly on sales or the image of companies, exhibition organizers must consider various needs of visitors. To meet needs of visitors, ubiquitous technologies have been applied in some exhibitions. However, despite of the development of the ubiquitous technologies, their services cannot always reflect visitors' preferences as they only generate information when visitors request. As a result, they have reached their limit to meet needs of visitors, which consequently might lead them to loss of marketing opportunity. Recommendation systems can be the right type to overcome these limitations. They can recommend the booths to coincide with visitors' preferences, so that they help visitors who are in difficulty for choices in exhibition environment. One of the most successful and widely used technologies for building recommender systems is called Collaborative Filtering. Traditional recommender systems, however, only use neighbors' evaluations or behaviors for a personalized prediction. Therefore, they can not reflect visitors' dynamic preference, and also lack of accuracy in exhibition environment. Although there is much useful information to infer visitors' preference in ubiquitous environment (e.g., visitors' current location, booth visit path, and so on), they use only limited information for recommendation. In this study, we propose a booth recommendation methodology using Sequential Association Rule which considers the sequence of visiting. Recent studies of Sequential Association Rule use the constraints to improve the performance. However, since traditional Sequential Association Rule considers the whole rules to recommendation, they have a scalability problem when they are adapted to a large exhibition scale. To solve this problem, our methodology composes the confidence database before recommendation process. To compose the confidence database, we first search preceding rules which have the frequency above threshold. Next, we compute the confidences of each preceding rules to each booth which is not contained in preceding rules. Therefore, the confidence database has two kinds of information which are preceding rules and their confidence to each booth. In recommendation process, we just generate preceding rules of the target visitors based on the records of the visits, and recommend booths according to the confidence database. Throughout these steps, we expect reduction of time spent on recommendation process. To evaluate proposed methodology, we use real booth visit records which are collected by RFID technology in IT exhibition. Booth visit records also contain the visit sequence of each visitor. We compare the performance of proposed methodology with traditional Collaborative Filtering system. As a result, our proposed methodology generally shows higher performance than traditional Collaborative Filtering. We can also see some features of it in experimental results. First, it shows the highest performance at one booth recommendation. It detects preceding rules with some portions of visitors. Therefore, if there is a visitor who moved with very a different pattern compared to the whole visitors, it cannot give a correct recommendation for him/her even though we increase the number of recommendation. Trained by the whole visitors, it cannot correctly give recommendation to visitors who have a unique path. Second, the performance of general recommendation systems increase as time expands. However, our methodology shows higher performance with limited information like one or two time periods. Therefore, not only can it recommend even if there is not much information of the target visitors' booth visit records, but also it uses only small amount of information in recommendation process. We expect that it can give real?time recommendations in exhibition environment. Overall, our methodology shows higher performance ability than traditional Collaborative Filtering systems, we expect it could be applied in booth recommendation system to satisfy visitors in exhibition environment.

• Korean Journal of Health Education and Promotion
• /
• v.4 no.2
• /
• pp.46-70
• /
• 1987

The survey with questionnaire were conducted to grasp the actual condition of four cautious drugs-antibiotics, sedative hypnctics, mincr tranquilizer, analeptics-self -medication behavior through drugstore use and to analyze the primary factors connected with it. The following six objectives were established. 1) To catch the reason why the man who medicate himself buy four cautious drugs at a drugstore, and to know the choice motive of each drug purchased. 2) To grasp the distribution of four cautious drug taken by the man who medicate himself and to analyse the reason of taking the drug. 3) To find out whether the buyer has taken the same drug past and to know the duration and the frequency. 4) To grasp the degree of recognition about four cautious drugs and the attitude toward continuous taking them. 5) To analyze the degree of recognition about the influence on human body and the attitude of medication behavior. 6) To know "the experience of side-effects" and to grasp the kind of the side-effects. The data were collected from 15 drugstores with 677 respondents in seoul from August 17 to september 21, 1987. The following results were obtained. 1) The reasons for drugstore use were first, "for easy access and convenience" (53.7%) second, "for the slightness of illness" (19.9%) third "for the cheap price" (13.2%). According to that result, the factor of "the easy access of drugstore" was most influential. In case of the poor, the factor "for the cheap price "was revealed second (37.3%). And "for the slightness of illness" was second reason in the medically insured (22. 9%), "for the cheap price" was second reason in the others (29%). 2) The kind of drugs purchased were antibiotics (62.8%), analeptics(17.2%), minor tranquilizer(13.3%) and sedative hypnotics (6.7%) on the whole. In teenagers, besides antibiotics the percentage of taking analepits came second (42.4%) and it was revealed that the percentage of sedative hypnotics, minor tranquilizer increase with age. But in proportion to the increase of age, the taking of analeptis decreased. 3) The choice motives of each drug purchased were all different. In case of antibiotics "recommendation of pharmacist" was 39.6%, sedative hypnotics "recommendation of pharmacist" and "my own judgement", 28.9%, respectively, minor tranquilizer "my own judgement", 35.2%. and in case of analeptics "my oun judgement" was most common with 53.5%. 4) The reasons for taking drugs were as follows. antibiotics was taken for the inflammation mitigation of a wound and a swelling (38.5%), sedative hypnotics for the removal of insomnia (97.5%), minor tranquilizer because of restlessness and qloominess(39.3%), and analeptics for the shortening of sleeping hours (35.1%). 5) Those experienced in taking four cautious drugs were 78.2% on the average. It was revealed that antibiotics use duration was "from one week to one month" (38.9%), the frequency was "rarely" (62.1%), sedative hypnotics and minor tranquilizer; "More than three years", (35.7%, 30.4%), respectively, "Somtimes", (43.8%, 35%), respectively. analeptics ; "from one year to three years", (27.6%), "Sometimes", (42.7%). 6) In regard to the source of information in taking drugs, 35.3 percent of male were relied on "recommendation of pharmacist", 32.6 percent of female "my own judgement", There was a difference between below the middle school graduates and over the high school graduates Thease were relied on "recommendation of pharmacist" first, those "my own judgement" first. And "my own judgement" was the first source of specialist(40%), labours(41.4%), salesman(43.5%), and jobless men(36.8%), "recommendation of ralatives on friends" was the first source of students (30.4%), "recommendation of pharmacist" was the first soure of teachers, administrative office workers (39%) and housewives (40.7%). 7) The degree of recognition about four cautious drugs was as follows. "know a little" was (43.0%), "don't know" (30.2%), "know" (26.8%), respectively. In regard to the attitude toward continuous taking them, it was revealed that "I will take it according to circumstamces" was first (56.2%), " I will not take it as possible" was first(56.2%), "I dont know well" (12.9%), "I will take it continuously" (8.3%). 8) About the influence on human body, "if proper, it is effect" was common attitude toward antibiotics (43.6%), "Probably bad influence on the health" was first toward the other drugs (46.2%), In terms of the degree of observance to taking-time and dose of drugs, "suitably" was first (37.3%), "relatively correctly" second (27%), "correctly" (17%). 9) The percentage of four cautious drugs side-effects was 27.5 on the average. The kind of side-effects were eruption and urticaria (28.5%), heart acceleration and so forth. (25.4%), headache and Giddiness, dyspepsia (23%), respectively.

• Journal of the Korean Home Economics Association
• /
• v.37 no.3
• /
• pp.63-84
• /
• 1999

The purpose of this study was to explore how family type based on intra system dynamics explained housewives'objective and subjective family financial well-being. The data were collected by means of questionnaire distributed to a stratified sample of 662 housewives in Seoul who usually managers household finances. The questionnaire included family cohesion and adaptability scale, communication scale, financial management scale, and subjective family financial well-being scale. Frequency, percentile, mean, Х$^2$ Pearson’s correlation, one-way ANOVA, multiple regression were used to analyze the data. The study had resulted in five major findings: 1. Among four intra system dynamics elements were highly relationships 2. Families were categorized tv four types, named personal-oriented(N: 164), managerial-oriented(N=169), dynamics(N=154), and non-dynamic(N=134) family. 3. The four types of family were influenced tv age of housewives, duration of marriage, and job status of husbands. 4. The four types of family were significantly related with subjective family financial well-being. The personal-oriented family type was significantly related with objective family financial well-being. 5. The dynamic family type showed the highest effect of subjective family financial well-being. The personal-oriented family type showed the greatest effect of objective family financial well-being. The recommendation for future research and better ways to enhance level of intra system dynamics elements and family financial well-being.

• Journal of Korean Academy of Fundamentals of Nursing
• /
• v.6 no.1
• /
• pp.96-113
• /
• 1999

This retrospective descriptive study was conducted to survey the use of alternative therapy by chronicly ill patients. The subject of this study were 205 chronicly ill patients at Pusan National University Hospital. The data for this study were patient record. The data were gathered from August, 1 to September, 30 1998 and analyzed through SPSSWIN program for frequency, percentile and $x^2-test$. The important results of this study are as followings. Of population-sociological characteristics on studied objects, sexual distribution showed a similar percentage male 47.8% and the female 52.2%. Age distribution showed that the 60-69 year old group made up 31.5%, and was the highest. Of religion Buddism was the most frequest. The diagnosis distribution showed cancer at 28.8% and coronary artery disease at 16.1%. According to the results of the study, 51.2% of subjects had used alternative therapy. The most common type of alternative therapy was dietary and nutritional therapy, 40.2%, the place of use, home, 44.0%, duration, less than 3 months, 51.5%. The most common motive was a recommendation by friends or family. The degree of satisfaction after the use of alternative therapy was high for 21.0%, and slight for 53.3%. The reaction after the use of alternative therapy was increasing power for patients with coronary artery disease and cancer, sugar control for those with DM, and pain control for those with chronic arthrits. The study showed that for chronicly ill patients, age, religion, diagnosis name have an important effect on the use of alternative therapy. In conclusion, chronicly ill patients showed high-use of alternative therapy but they did not used alternative therapy as a healing method. Therefore we must provide an education program nurses and physicians. And we must provide more information or healing method's and support chronicly ill patients.

• Journal of Intelligence and Information Systems
• /
• v.25 no.1
• /
• pp.85-107
• /
• 2019

Online consumers browse products belonging to a particular product line or brand for purchase, or simply leave a wide range of navigation without making purchase. The research on the behavior and purchase of online consumers has been steadily progressed, and related services and applications based on behavior data of consumers have been developed in practice. In recent years, customization strategies and recommendation systems of consumers have been utilized due to the development of big data technology, and attempts are being made to optimize users' shopping experience. However, even in such an attempt, it is very unlikely that online consumers will actually be able to visit the website and switch to the purchase stage. This is because online consumers do not just visit the website to purchase products but use and browse the websites differently according to their shopping motives and purposes. Therefore, it is important to analyze various types of visits as well as visits to purchase, which is important for understanding the behaviors of online consumers. In this study, we explored the clustering analysis of session based on click stream data of e-commerce company in order to explain diversity and complexity of search behavior of online consumers and typified search behavior. For the analysis, we converted data points of more than 8 million pages units into visit units' sessions, resulting in a total of over 500,000 website visit sessions. For each visit session, 12 characteristics such as page view, duration, search diversity, and page type concentration were extracted for clustering analysis. Considering the size of the data set, we performed the analysis using the Mini-Batch K-means algorithm, which has advantages in terms of learning speed and efficiency while maintaining the clustering performance similar to that of the clustering algorithm K-means. The most optimized number of clusters was derived from four, and the differences in session unit characteristics and purchasing rates were identified for each cluster. The online consumer visits the website several times and learns about the product and decides the purchase. In order to analyze the purchasing process over several visits of the online consumer, we constructed the visiting sequence data of the consumer based on the navigation patterns in the web site derived clustering analysis. The visit sequence data includes a series of visiting sequences until one purchase is made, and the items constituting one sequence become cluster labels derived from the foregoing. We have separately established a sequence data for consumers who have made purchases and data on visits for consumers who have only explored products without making purchases during the same period of time. And then sequential pattern mining was applied to extract frequent patterns from each sequence data. The minimum support is set to 10%, and frequent patterns consist of a sequence of cluster labels. While there are common derived patterns in both sequence data, there are also frequent patterns derived only from one side of sequence data. We found that the consumers who made purchases through the comparative analysis of the extracted frequent patterns showed the visiting pattern to decide to purchase the product repeatedly while searching for the specific product. The implication of this study is that we analyze the search type of online consumers by using large - scale click stream data and analyze the patterns of them to explain the behavior of purchasing process with data-driven point. Most studies that typology of online consumers have focused on the characteristics of the type and what factors are key in distinguishing that type. In this study, we carried out an analysis to type the behavior of online consumers, and further analyzed what order the types could be organized into one another and become a series of search patterns. In addition, online retailers will be able to try to improve their purchasing conversion through marketing strategies and recommendations for various types of visit and will be able to evaluate the effect of the strategy through changes in consumers' visit patterns.