• Title/Summary/Keyword: hot search keyword

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'Hot Search Keyword' Rank-Change Prediction (인기 검색어의 순위 변화 예측)

  • Kim, Dohyeong;Kang, Byeong Ho;Lee, Sungyoung
    • Journal of KIISE
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    • v.44 no.8
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    • pp.782-790
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    • 2017
  • The service, 'Hot Search Keywords', provides a list of the most hot search terms of different web services such as Naver or Daum. The service, bases the changes in rank of a specific search keyword on changes in its users' interest. This paper introduces a temporal modelling framework for predicting the rank change of hot search keywords using past rank data and machine learning. Past rank data shows that more than 70% of hot search keywords tend to disappear and reappear later. The authors processed missing rank value, using deletion, dummy variables, mean substitution, and expectation maximization. It is however crucial to calculate the optimal window size of the past rank data. We proposed an optimal window size selection approach based on the minimum amount of time a topic within the same or a differing context disappeared. The experiments were conducted with four different machine-learning techniques using the Naver, Daum, and Nate 'Hot Search Keywords' datasets, which were collected for 2 years.

Nowcast of TV Market using Google Trend Data

  • Youn, Seongwook;Cho, Hyun-chong
    • Journal of Electrical Engineering and Technology
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    • v.11 no.1
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    • pp.227-233
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    • 2016
  • Google Trends provides weekly information on keyword search frequency on the Google search engine. Search volume patterns for the search keyword can also be analyzed based on category and by the location of those making the search. Also, Google provides “Hot searches” and “Top charts” including top and rising searches that include the search keyword. All this information is kept up to date, and allows trend comparisons by providing past weekly figures. In this study, we present a predictive model for TV markets using the searched data in Google search engine (Google Trend data). Using a predictive model for the market and analysis of the Google Trend data, we obtained an efficient and meaningful result for the TV market, and also determined highly ranked countries and cities. This method can provide very useful information for TV manufacturers and others.

An Efficient Hybrid Lookup Service Exploiting Localized Query Traffic (질의의 지역성을 이용한 효율적인 하이브리드 검색 서비스)

  • Lee, Sang-Hwan;Han, Jae-Il;Kim, Chul-Su;Hwang, Jae-Gak
    • Journal of Information Technology Services
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    • v.8 no.3
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    • pp.171-184
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    • 2009
  • Since the development of the Distributed Hash Tables (DHTs), the distributed lookup services are one of the hot topics in the networking area. The main reason of this popularity is the simplicity of the lookup structure. However, the simple key based search mechanism makes the so called "keyword" based search difficult if not impossible. Thus, the applicability of the DHTs is limited to certain areas. In this paper. we find that DHTs can be used as the ubiquitous sensor network (USN) metadata lookup service across a large number of sensor networks. The popularity of the Ubiquitous Sensor Network has motivated the development of the USN middleware services for the sensor networks. One of the key functionalities of the USN middleware service is the lookup of the USN metadata, by which users get various information about the sensor network such as the type of the sensor networks and/or nodes, the residual of the batteries, the type of the sensor nodes. Traditional distributed hash table based lookup systems are good for one sensor network. However, as the number of sensor network increases, the need to integrate the lookup services of many autonomous sensor networks so that they can provide the users an integrated view of the entire sensor network. In this paper, we provide a hybrid lookup model, in which the autonomous lookup services are combined together and provide seamless services across the boundary of a single lookup services. We show that the hybrid model can provide far better lookup performance than a single lookup system.

Review on Studies of Korean Medicine about Tinea Pedis (족부백선의 한의학 논문에 대한 고찰)

  • Park, Sun-Yeong;Seo, Hyung-Sik
    • The Journal of Korean Medicine Ophthalmology and Otolaryngology and Dermatology
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    • v.29 no.3
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    • pp.42-49
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    • 2016
  • Objectives : The purpose of this study is to analyze research trends on tinea pedis in studies of Korean medicine.Methods : We searched papers using NDSL, KISS, RISS and KTKP(Korean Traditional Knowledge Portal). The first search used the keyword "Tinea pedis" in NDSL, KISS, RISS and KTKP. Used searching duration was not specified.Results : Studies found in NDSL, KISS and RISS were 122 and 118 studies were excluded. Studies found in KTKP were five papers and four studies of them were excluded. Finally five studies were selected and analyzed. Two studies of five selected ones were experimental researches and three studies were clinical researches. Among 2 researches of experimental researches, one of them was about antifungal efficacy of herbal medicines and ethahol extract of the mixture of Sophorae Subprostratae Radix, Aconiti Radix and Hibisci Syriaci Cortex and hot water extract of Phellodendri Cortex were effective. The other was about antifungal effect of the medicinal herb extraction method and vinegar extract was effective. Among 3 researches of clinical researches, there were one clinical study and two case studies. Functional soap containing herbal medicines and bee venom therapy were effective.Conclusions : As we looked for five researches, which were two experimental studies, one clinical study and two case studies. It is possible to treat tinea pedis with korean medical approach by conclusions of 5 researches. We expect that further researches will be proceeded and following results can be actively used as clinical treatments.

Exploring the Trend of Korean Creative Dance by Analyzing Research Topics : Application of Text Mining (연구주제 분석을 통한 한국창작무용 경향 탐색 : 텍스트 마이닝의 적용)

  • Yoo, Ji-Young;Kim, Woo-Kyung
    • Journal of Korea Entertainment Industry Association
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    • v.14 no.6
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    • pp.53-60
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    • 2020
  • The study is based on the assumption that the trend of phenomena and trends in research are contextually consistent. Therefore the purpose of this study is to explore the trend of dance through the subject analysis of the Korean creative dance study by utilizing text mining. Thus, 1,291 words were analyzed in the 616 journal title, which were established on the paper search website. The collection, refining and analysis of the data were all R 3.6.0 SW. According to the study, keywords representing the times were frequently used before the 2000s, but Korean creative dance research types were also found in terms of education and physical training. Second, the frequency of keywords related to the dance troupe's performance was high after the 2000s, but it was confirmed that Choi Seung-hee was still in an important position in the study of Korean creative dance. Third, an analysis of the overall research subjects of the Korean creative dance study showed that the research on 'Art of Choi Seung-hee in the modern era' was the highest proportion. Fourth, the Hot Topics, which are rising as of 2000, appeared as 'the performance activities of the National Dance Company' and 'the choreography expression and utilization of traditional dance'. However, since the recent trend of the National Dance Company's performance is advocating 'modernization based on tradition', it has been confirmed that the trend of Korean creative dance since the 2000s has been focused on the use of traditional dance motifs. Fifth, the Cold Topic, which has been falling as of 2000, has been shown to be a study of 'dancing expressions by age'. It was judged that interest in research also decreased due to the tendency to mix various dance styles after the establishment of the genre of Korean creative dance.