최소 단어 이상 선택하여야 합니다.
최대 10 단어까지만 선택 가능합니다.
다음과 같은 기능을 한번의 로그인으로 사용 할 수 있습니다.
NTIS 바로가기다음과 같은 기능을 한번의 로그인으로 사용 할 수 있습니다.
DataON 바로가기다음과 같은 기능을 한번의 로그인으로 사용 할 수 있습니다.
Edison 바로가기다음과 같은 기능을 한번의 로그인으로 사용 할 수 있습니다.
Kafe 바로가기국가/구분 | United States(US) Patent 등록 |
---|---|
국제특허분류(IPC7판) |
|
출원번호 | US-0616474 (2000-07-14) |
발명자 / 주소 |
|
출원인 / 주소 |
|
대리인 / 주소 |
|
인용정보 | 피인용 횟수 : 713 인용 특허 : 12 |
A content and collaborative filtering system for recommending entertainment oriented content items, such as music and video, and other media content items to a user based on similarity in profile between the user and other users and between the content indexed in the user's profile and other content
A content and collaborative filtering system for recommending entertainment oriented content items, such as music and video, and other media content items to a user based on similarity in profile between the user and other users and between the content indexed in the user's profile and other content in the database. The system stores implicit and explicit ratings data for such content items provided by the users. Upon request of the user, the system accesses the user's profile and corresponding content interests database. The system uses the relationships between the content items to determine a subset of the content items to be referred to the user. The system also correlates a similarity between the user's ratings of the content items and other users' ratings. Based on the correlations, a subset of users is selected that is then used to provide recommendations to the user. The recommended items have a high probability of being subjectively appreciated by the user. The recommendations produced by the system will be represented to the user using a visual representation of the relationships between the content items allowing the user to explore the items related to the recommended items.
1. A content item referral system, executable by a computer, providing for the automated presentation of a set of recommended media-based content items in response to a query presented by a user, said content item referral system comprising:a) a weighted relation subsystem operable to provide weight
1. A content item referral system, executable by a computer, providing for the automated presentation of a set of recommended media-based content items in response to a query presented by a user, said content item referral system comprising:a) a weighted relation subsystem operable to provide weighted relationships data representing relative similarities between characteristic attributes of a predetermined set of content items; b) a referral sub-system, coupled to receive user profile data and said weighted relationship data, responsive to a user query, said referral system operative to perform a traversal of said user profile data and said weighted relationship data to provide an ordered list of content items relative to a predetermined content item; and c) an action analysis sub-system coupled to said referral system to receive user action behaviors correlated to content items considered by said user, said action analysis sub-system providing said user profile data to said referral sub-system.
Copyright KISTI. All Rights Reserved.
※ AI-Helper는 부적절한 답변을 할 수 있습니다.