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公开(公告)号:KR1020120016723A
公开(公告)日:2012-02-27
申请号:KR1020100079122
申请日:2010-08-17
Applicant: 숭실대학교산학협력단
CPC classification number: G06Q50/10 , G06F17/10 , G06Q30/0254 , G06Q30/0255
Abstract: PURPOSE: A content recommending method using menu preference information is provided to recommend content based on a menu preference and to extract personal preferences by using menu information and using history information. CONSTITUTION: A learning engine extracts menu preference information, popular content, and relation menu by using content watching history information and menu information for using content. The learning engine stores the extracted information in a database(S100). A recommendation engine provides a recommendation list by using content meta data and data stored in the learning engine according to the recommending request of a user(S200).
Abstract translation: 目的:提供使用菜单偏好信息的内容推荐方法,以基于菜单偏好来推荐内容,并通过使用菜单信息和使用历史信息来提取个人偏好。 构成:学习引擎通过使用内容观看历史信息和使用内容的菜单信息来提取菜单偏好信息,流行内容和关系菜单。 学习引擎将提取的信息存储在数据库中(S100)。 推荐引擎根据用户的推荐请求,通过使用存储在学习引擎中的内容元数据和数据来提供推荐列表(S200)。
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公开(公告)号:KR101151176B1
公开(公告)日:2012-06-01
申请号:KR1020100079122
申请日:2010-08-17
Applicant: 숭실대학교산학협력단
Abstract: 본발명은메뉴선호정보를이용한콘텐츠추천방법에관한것으로, 메뉴구조를가지는콘텐츠제공환경에서사용자가원하는콘텐츠를추천하기위하여사용자의메뉴선호정보를이용빈도정보와최근성을반영하여학습한메뉴선호정보를이용하여해당메뉴내의콘텐츠를추천하는메뉴선호정보를이용한콘텐츠추천방법에관한것이다. 사용자가이용한콘텐츠시청히스토리정보와, 콘텐츠를이용하기위해탐색한메뉴정보를이용하여학습엔진(10)에서메뉴선호정보, 인기콘텐츠, 연관메뉴를추출하여데이터베이스에저장하는제100단계(S100)와; 사용자의추천요청에따라상기학습엔진(10)에저장된데이터와콘텐츠메타데이터를이용하여추천엔진(20)에서추천리스트를제공하는제200단계(S200)를포함한다. 따라서, 본발명은사용자의콘텐츠접근정보인메뉴정보와사용이력정보를이용하여개인의선호를추출하고메뉴선호에기반한콘텐츠추천을제공할수 있으며, 연관메뉴를반영한메뉴선호정보를이용하여메뉴선호정보학습을통한추천으로인해선호정보에해당하는콘텐츠만추천이가능하게되는과잉특성화문제를개선하는효과가있다.
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