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Stocks recommended system and brand recommended program

机译:库存推荐系统和品牌推荐程序

摘要

PROBLEM TO BE SOLVED: To detect a user's potential concern through the user's daily unintentional information processing behavior to present a concrete stock matching the user's potential concern.;SOLUTION: A stock recommendation system 10 includes: a user data collection part 12 which extracts a keyword from data inputted by a user or data browsed by the user and stores the keyword in a user keyword storage part 16 in association with a user ID and a date and hour; a company attribute storage part 28 wherein attribute information such as locations, types of business, and products of publicly-traded companies is stored; a keyword selection part 18 which refers to the user keyword storage part 16 to totalize frequencies of respective keywords within a set period for every user, and selects the prescribed number of keywords on the basis of the frequencies; and a recommendation stock part 26 which refers to the company attribute storage part 28 to specify companies having the respective selected keywords as an attribute.;COPYRIGHT: (C)2011,JPO&INPIT
机译:要解决的问题:通过用户的日常无意信息处理行为来检测用户的潜在担忧,以呈现与用户的潜在担忧相匹配的具体库存。解决方案:库存推荐系统10包括:提取关键词的用户数据收集部分12根据用户输入的数据或用户浏览的数据,将关键字与用户ID和日期和时间相关联地存储在用户关键字存储部分16中;公司属性存储部分28,其中存储诸如上市公司的位置,业务类型和产品之类的属性信息;关键字选择部分18,其参考用户关键字存储部分16,以在每个用户设定的时间段内累加各个关键字的频率,并根据频率选择规定数目的关键字;版权公司:(C)2011,JPO&INPIT;和推荐股票部分26,其参考公司属性存储部分28以指定具有各个选择的关键字作为属性的公司。

著录项

  • 公开/公告号JP5398413B2

    专利类型

  • 公开/公告日2014-01-29

    原文格式PDF

  • 申请/专利权人 株式会社野村総合研究所;

    申请/专利号JP20090187520

  • 发明设计人 外園 康智;

    申请日2009-08-12

  • 分类号G06Q40/04;G06F17/30;

  • 国家 JP

  • 入库时间 2022-08-21 16:12:02

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