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公开(公告)号：KR1020130059264A
公开(公告)日：2013-06-05
申请号：KR1020120103970
申请日：2012-09-19
Applicant: 세종대학교산학협력단
Abstract: PURPOSE: A specific organization ranking calculating method is provided to increase reliability of a ranking result about an organization based on social networking service data. CONSTITUTION: Information about a specific organization is collected from a social networking service based on the name and address information of the specific organization(S10). The ranking factor of the specific organization is extracted from the collected information through the social networking service(S20). The ranking of the specific organization is calculated based on the extracted ranking factor(S30). [Reference numerals] (S10) Collect information of the specific organization; (S20) Extract the ranking factor of the specific organization; (S30) Calculate the ranking of the specific organization
Abstract translation: 目的：提供一种特定的组织排名计算方法，以提高基于社交网络服务数据的组织排名结果的可靠性。 规定：根据具体组织的名称和地址信息，从社交网络服务收集有关特定组织的信息（S10）。 通过社交网络服务从收集的信息中提取具体组织的排名因素（S20）。 基于提取的排名因子计算特定组织的排名（S30）。 （附图标记）（S10）收集特定组织的信息; （S20）提取具体组织的排名因子; （S30）计算具体组织的排名
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公开(公告)号：KR1020130059263A
公开(公告)日：2013-06-05
申请号：KR1020120103930
申请日：2012-09-19
Applicant: 세종대학교산학협력단
CPC classification number: G06Q50/10 , G06F17/2705 , G06F17/30719 , G06K9/00456 , G06Q30/0278
Abstract: PURPOSE: A merchandise seller related script decision method is provided to classify an association degree of a merchandise seller related review by dividing a text and an image in a blog review. CONSTITUTION: A database of a merchandise seller which is searched by inputting a query is collected(S10). A review is extracted from a blog on the web based on the database of the searched merchandise seller(S20). The text of the extracted review is classified(S30). The image of the extracted review is classified(S40). A association degree of a merchandise seller related review is classified into many classes based on the classified text and image(S50). [Reference numerals] (S10) Collect a database of a merchandise seller; (S20) Extract a blog review; (S30) Classify the text of the extracted review; (S40) Classify the image of the review; (S50) Classify an association degree of the review
Abstract translation: 目的：提供商品卖家相关的脚本决策方法，通过在博客评论中划分文本和图像来对商品卖家相关评论的关联度进行分类。 构成：收集通过输入查询搜索的商品卖家的数据库（S10）。 基于所搜索的商品卖家的数据库，从网络上的博客中提取评论（S20）。 提取审查的文本分类（S30）。 提取的审查的图像被分类（S40）。 基于分类文本和图像，将商品卖家相关评论的协会程度分为许多类别（S50）。 （附图标记）（S10）收集商品卖家的数据库; （S20）提取博客评论; （S30）对提取审查的案文进行分类; （S40）分类审查的形象; （S50）分类审查的关联程度
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公开(公告)号：KR1020100020365A
公开(公告)日：2010-02-22
申请号：KR1020080079117
申请日：2008-08-12
Applicant: 세종대학교산학협력단 , 건국대학교 산학협력단
CPC classification number: G06Q30/0243 , G06Q30/0631
Abstract: PURPOSE: A system for recommending products and a method thereof are provided to improve a recommendation performance by estimating product recommendation preference which is not inputted by other. CONSTITUTION: At least one seller terminal(100a-100m) inputs the product information of a new product, and a registration server(200) registers the product information. At least one customer terminal(300a-300n) create a purchase request signal and a purchase decision signal for the product of the registration server. At least one customer terminal inputs the preference for the decided product, and an other person history recommendation unit(620) recommends the product based on the product preference by the other persons, and a user history recommendation unit(610) recommends the product based on the product information of the purchased product.
Abstract translation: 目的：提供一种推荐产品及其方法的系统，以通过估计不由其他人输入的产品推荐偏好来改善推荐性能。 规定：至少一个卖方终端（100a-100m）输入新产品的商品信息，注册服务器（200）登记产品信息。 至少一个客户终端（300a-300n）为注册服务器的产品创建购买请求信号和购买决定信号。 至少一个客户终端输入对所决定的产品的偏好，而另一个人历史推荐单元（620）基于其他人的产品偏好来推荐产品，并且用户历史推荐单元（610）基于 所购产品的产品信息。
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