• Korean Journal of Child Studies
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• v.16 no.2
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• pp.125-138
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• 1995

The purpose of the present research was to study developmental trends in categorical organization strategy. The subjects were 160 children - 40 nine - year - old boys, 40 nine - year - old girls, 40 seven - year - old boys, 40 seven - year - old girls. All subjects received one of three lists of items differing in category representativeness in either a free -recall or a sort -recall task. The selection of list materials permitted separation of the effects of age differences in category knowledge from those of knowledge per se on children's recall behavior. The tasks were administered to children individually with the memory task followed by the metamemory task. The data was analyzed with three - way ANOVA arid Pearson's correlation coefficient. The results were that (1) Children's recall, clustering, and metamemory increased with age, while age effects for clustering were restricted to the sort - recall/high typicality condition. At each age level, children showed higher level of recall, clustering and metamemory for category typical rather than atypical list, and sort - recall than free-recall. Level of clustering and metamemory were superior in the sort - recall task and for items of high category typicality. (2) 9 - year - old children were capable of deliberately and efficiently using category organization as a memory strategy at least when appropriate contextual support was present (as determined by task requirements and list materials: sort - recall/high typicality).

• Korean Journal of Human Ecology
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• v.7 no.1
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• pp.25-38
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• 1998

The purpose of this study was to examine developmental trends in script-based organization strategy and relative influences of age, use of organizational strategy and category typicality of lists on children's recall. The subjects were 120 infant children, -40 four years old, 40 five years old, 40 six years old. All subjects were received 1 of 2 slot-filler lists of items differing in category representativness. Data were analysed by two-way Anova, Duncan's post-hoc test and Multiple Regression analysis. The major findings were as follows. 1. Recall and use of organizational strategy were increased with age. 2. At each age level, children showed high level of recall and organization strategy for category typical than category atypical. 3. Children's age, use of organizational strategy and category typicality of list significantly predicted children's recall. 42% of the variance of children's recall was explained by three variables. The relative influence of age to the prediction of children's recall was the strongest.

• The Research Journal of the Costume Culture
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• v.21 no.3
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• pp.338-347
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• 2013

In this study, it was explored a research model consisting of slogan attitude, brand familiarity, brand attitude, brand recall, and product category recall of retailers. Experimental research was conducted with 3,028 males and females in their 20's to 40's using stimuli of 10 slogan-brand sets from various types of retailers. In results, the research model developed based on the literature was confirmed and supported by data. In the model test, all hypotheses were supported. The effects of slogan attitude and brand familiarity on brand attitude were confirmed. Also, brand familiarity affected brand recall. Category recall was predicted by brand attitude and brand recall. As consumers have better attitude toward slogans, they tend to have better attitude toward the brand. As consumers are more familiar with the brand, they are likely to better recall brands when they are exposed to the slogan. As consumers have better attitude toward brand and better recall the brand, they tend to better recall the business category when they see the slogan. Study findings may help marketers to develop better strategies for slogan use by considering diverse variables related to consumer responses toward slogan attitudes.

• Journal of the Korean Home Economics Association
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• v.37 no.2
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• pp.55-72
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• 1999

The purpose of this study was to investigate developmental trends in organization strategy for taxonomic and slot-fiber lists and category typicality, use of organization strategy in relation to developmental changes in category knowledge structure, emergent organization capacity and effects in category typicality on children's recall. Moreover, the influences of children's age, use of organization strategy, list types and category typicality on children's recap were figured out. The major results were as follows. 1. Children's recall use of organization strategy increased with age. That is, the older children performed better recap and used organization strategy on both list types than the younger children. 2. AU children performed recall and used organization strategy better for the slot-filler than taxonomic list. The 4-year-olds, however, demonstrated better recap and use of organization strategy for the slot-filler than taxonomic list. While the 6-year-olds and 8-year-olds showed no such differences. These findings were supported the view that script-based slot-filler categories have a strong influence on young children's memory performance. 3. At each age level, children showed higher level of recall and use of organization strategy for category typical than category atypical list. AU children received higher scores for the typical than atypical items on recap and use of organization strategy. 4. Children's age, use of organization strategy, list types, and category typicality of lists significantly predicted children's recap.58% of the variance of children's recap was explained by four variables.

• Journal of Nutrition and Health
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• v.34 no.6
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• pp.688-700
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• 2001

Nutrient intakes estimated using a 24-hr recall, a dirt record and a food frequency questionnaire(FFQ) were compared in a group of ninety-four elderly people(21 males, 73 females) in Cheongju, a city in Chung-Buk province. Mean intakes for energy, protein, Ca, p, Na, K thiamin and niacin obtained from the diet record were higher than those from the 24-hr recall. Mean intakes for energy, protein, Ca, P, Na, K thiamin, niacin and vitamin C from the FFQ were higher than those obtained from the 24-hr recall or the diet record. Correlation coefficients between the nutrient intake values from the 24-hr recall and those from the diet record ranged from 0.84 to 0.95 and were significantly correlated(p < 0.001). About 80% of the subjects in the lowest quintile by the 24-hr recall were also in the lowest two quintiles by the diet record. While the percentage fallen into the opposite category ranged from 0% to 15%. For most nutrients, at least 65% of the subjects when classified by the 24-hr recall fell into the same quintile when classified by the diet record, and the mean kappa value was 0.7. About 52% of the subjects in the lowest category by the 24-hr recall fell into the lowest two categories by FFQ. The mean percentage of the subjects in the lowest quintile by the diet record or in the lowest two quintiles by the FFQ was 51%. For most nutrients, at least 24% of each of the subjects when classified by both the 24-hr recall and the diet record fell into the same category when classified by the FFQ. The kappa values between the 24-hr recall or the diet recall and the FFQ were 0.17. These data indicate that in elderly subjects the 24-hr recall can provide very similar information to that obtained from the diet record but the FFQ can not provide good information if the right FFQ method is not used for only elderly subjects.

• Korean Journal of Child Studies
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• v.11 no.1
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• pp.45-57
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• 1990

The purpose of the present study was to investigate the age-related differences in recall and to assess effects of presentation modality, encoding condition and cue modality on recall in terms of encoding specificity principles and dual-coding theory. Eighty children in each of 3grades(first, third and fifth) were presented a 30-item set of pictures or words on cars for recall in a study-test procedure. The experiment was designed as a 3(age) x 2(presentation modality:picture or word) x 2(encoding condition:random or category) x 2(cue modality:picuture or word) factorial design. Statistical analyses were with four-way ANOVA and $Scheff\acute{e}$ test. It was concluded from these results that when the stimulus was presented by pictures, encoded by category and the cues were also presented by pictures, recall increased in all ages. These results were interpreted in terms of encoding specificity principles and dual-coding theory.

• Journal of Internet Computing and Services
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• v.7 no.2
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• pp.71-80
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• 2006

In web search engines, there are two main methods: directory searching and keyword searching. Keyword searching shows high recall rate but tends to come up with too many search results to find which users want to see the pages. Directory searching has also a difficulty to find the pages that users want in case of selecting improper category without knowing the exact category, that is, it shows high precision rates but low recall rates. We designed and implemented a new web search engine to resolve the problems of directory search method. It regards a category as a fuzzy set which contains keywords and calculate the degree of inclusion between categories. The merit of this method is to enhance the recall rate of directory searching by expanding subcategories on the basis of similarity.

• Journal of the Korean Home Economics Association
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• v.36 no.1
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• pp.143-155
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• 1998

This study was conducted to compare dietary intake and quality obtained by food frequency questionnaire(FFQ) and 24-hour recall method among 1249 Korean adults living in rural area. The survey was conducted twice; first with 65-items FFQ by interview and then with 24-hour recall method two years later. Nutrients intake estimated from two dietary methods showed significant difference. For nutrients except fat and iron, average intake value estimated from the FFQ were significantly higher than that from the 24-hour recall method(p<0.001). Ranking of the subjects by nutrient intake levels obtained by two methods were significantly correlated, but correlation coefficients were low. Percentage of subjects in the lowest or in the highest quintile by 24-hour recalls who belong to the nearest two categories by FFQ ranged from 45% to 61%, while the percentage falling into the opposite category ranged from 7% to 15%. Subjects' percentile rank of nutrient intake by 24-hour recall correlated with their average rank of nutrient intake by FFQ. Information on food groups by two method were not comparable because of the limited number of food items in FFQ. For most nutrients, RDA% or NAR from FFQ were higher than those from 24-hour recall, but INQ from 24-hour recall were higher than those from FFQ. From the results, results of 24-hour recall method seems to be useful in classifying subjects according to their nutrient intake if sample size is large enough.

• Journal of the Korean Institute of Intelligent Systems
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• v.10 no.4
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• pp.374-378
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• 2000

in information retrieval, lack of positive examples is a main cause of poor performance. In this case most learning algorithms may not characteristics in the data to low recall. To solve the problem of unbalanced data, we propose a boosting method that uses linear perceptrons as weak learnrs. The perceptrons are trained on local data sets. The proposed algorithm is applied to text filtering problem for which only a small portion of positive examples is available. In the experiment on category crude of the Reuters-21578 document set, the boosting method achieved the recall of 80.8%, which is 37.2% improvement over multilayer with comparable precision.

• Journal of Intelligence and Information Systems
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• v.20 no.3
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• pp.77-92
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• 2014

Recently, numerous documents including unstructured data and text have been created due to the rapid increase in the usage of social media and the Internet. Each document is usually provided with a specific category for the convenience of the users. In the past, the categorization was performed manually. However, in the case of manual categorization, not only can the accuracy of the categorization be not guaranteed but the categorization also requires a large amount of time and huge costs. Many studies have been conducted towards the automatic creation of categories to solve the limitations of manual categorization. Unfortunately, most of these methods cannot be applied to categorizing complex documents with multiple topics because the methods work by assuming that one document can be categorized into one category only. In order to overcome this limitation, some studies have attempted to categorize each document into multiple categories. However, they are also limited in that their learning process involves training using a multi-categorized document set. These methods therefore cannot be applied to multi-categorization of most documents unless multi-categorized training sets are provided. To overcome the limitation of the requirement of a multi-categorized training set by traditional multi-categorization algorithms, we propose a new methodology that can extend a category of a single-categorized document to multiple categorizes by analyzing relationships among categories, topics, and documents. First, we attempt to find the relationship between documents and topics by using the result of topic analysis for single-categorized documents. Second, we construct a correspondence table between topics and categories by investigating the relationship between them. Finally, we calculate the matching scores for each document to multiple categories. The results imply that a document can be classified into a certain category if and only if the matching score is higher than the predefined threshold. For example, we can classify a certain document into three categories that have larger matching scores than the predefined threshold. The main contribution of our study is that our methodology can improve the applicability of traditional multi-category classifiers by generating multi-categorized documents from single-categorized documents. Additionally, we propose a module for verifying the accuracy of the proposed methodology. For performance evaluation, we performed intensive experiments with news articles. News articles are clearly categorized based on the theme, whereas the use of vulgar language and slang is smaller than other usual text document. We collected news articles from July 2012 to June 2013. The articles exhibit large variations in terms of the number of types of categories. This is because readers have different levels of interest in each category. Additionally, the result is also attributed to the differences in the frequency of the events in each category. In order to minimize the distortion of the result from the number of articles in different categories, we extracted 3,000 articles equally from each of the eight categories. Therefore, the total number of articles used in our experiments was 24,000. The eight categories were "IT Science," "Economy," "Society," "Life and Culture," "World," "Sports," "Entertainment," and "Politics." By using the news articles that we collected, we calculated the document/category correspondence scores by utilizing topic/category and document/topics correspondence scores. The document/category correspondence score can be said to indicate the degree of correspondence of each document to a certain category. As a result, we could present two additional categories for each of the 23,089 documents. Precision, recall, and F-score were revealed to be 0.605, 0.629, and 0.617 respectively when only the top 1 predicted category was evaluated, whereas they were revealed to be 0.838, 0.290, and 0.431 when the top 1 - 3 predicted categories were considered. It was very interesting to find a large variation between the scores of the eight categories on precision, recall, and F-score.