公开(公告)号：US20130254811A1

公开(公告)日：2013-09-26

申请号：US13894299

申请日：2013-05-14

Applicant: TiVo Inc.

Inventor： Kamal Ali ,  Wijnand J. Van Stam

IPC: H04N21/466

CPC classification number: H04N21/466 ,  G06F17/3082 ,  G06F17/30828 ,  G11B27/105 ,  G11B27/34 ,  G11B2220/20 ,  H04N5/44513 ,  H04N5/44543 ,  H04N5/76 ,  H04N5/782 ,  H04N7/173 ,  H04N7/17318 ,  H04N7/17354 ,  H04N21/252 ,  H04N21/4147 ,  H04N21/4316 ,  H04N21/4334 ,  H04N21/44222 ,  H04N21/443 ,  H04N21/4532 ,  H04N21/454 ,  H04N21/4663 ,  H04N21/47 ,  H04N21/47214 ,  H04N21/4756 ,  H04N21/478 ,  H04N21/4826 ,  H04N21/4828 ,  H04N21/485 ,  H04N21/6543 ,  H04N21/812 ,  H04N21/8166

Abstract: A system and method for making program recommendations to users of a network-based video recording system utilizes expressed preferences as inputs to collaborative filtering and Bayesian predictive algorithms to rate television programs using a graphical rating system. The predictive algorithms are adaptive, improving in accuracy as more programs are rated.

Abstract translation: 用于向基于网络的视频记录系统的用户提出节目推荐的系统和方法利用表示的偏好作为协作滤波的输入和贝叶斯预测算法，以使用图形分级系统评价电视节目。 预测算法是自适应的，随着更多的程序被评估，精度提高。

公开(公告)号：US20150256897A1

公开(公告)日：2015-09-10

申请号：US14716363

申请日：2015-05-19

Applicant: TiVo Inc.

Inventor： Wijnand J. Van Stam

IPC: H04N21/63 ,  G06F17/30 ,  H04N21/4147 ,  H04N21/6543 ,  H04N21/45 ,  H04N21/454 ,  H04N21/466 ,  H04L29/08 ,  H04N21/258

CPC classification number: H04N21/632 ,  G06F17/30029 ,  G06F17/30035 ,  G06F17/30206 ,  G06F17/30699 ,  G11B27/105 ,  G11B27/34 ,  G11B2220/20 ,  H04H60/35 ,  H04L67/10 ,  H04N5/44513 ,  H04N5/44543 ,  H04N5/76 ,  H04N5/782 ,  H04N7/17318 ,  H04N7/17336 ,  H04N21/25 ,  H04N21/252 ,  H04N21/25891 ,  H04N21/4147 ,  H04N21/4316 ,  H04N21/442 ,  H04N21/44222 ,  H04N21/443 ,  H04N21/45 ,  H04N21/4532 ,  H04N21/454 ,  H04N21/466 ,  H04N21/4663 ,  H04N21/4668 ,  H04N21/47 ,  H04N21/4756 ,  H04N21/4826 ,  H04N21/4828 ,  H04N21/485 ,  H04N21/6543 ,  H04N21/812

Abstract: In a network-based system for recommending media content items based on user preferences, clients contact a server on a periodic basis, independent of the user. In addition to client-server interaction, clients also interact with one another in peer-to-peer fashion. Peers query one another and evaluate their similarity to each other in an interactive comparison of user preferences. When two clients are sufficiently similar, the interaction culminates in the originating client downloading content listings from the targeted peer to generate suggestions for their user. If the two clients are dissimilar, the query may be terminated, or the targeted peer may route the query to a second targeted peer. In addition to the lists of preferences, the originating client may download actual content items from the targeted peers.

Abstract translation: 在基于网络的系统中，基于用户偏好推荐媒体内容项目，客户端与用户无关地定期地联系服务器。 除了客户端 - 服务器交互之外，客户端还可以通过对等方式相互交互。 对等者在用户偏好的交互式比较中彼此查询并评估它们之间的相似性。 当两个客户端足够相似时，交互最终导致始发客户端从目标对等体下载内容列表以为其用户生成建议。 如果两个客户端不相似，则查询可能被终止，或者目标对等体可以将查询路由到第二目标对等体。 除了偏好列表之外，起始客户端可以从目标对等体下载实际的内容项目。