公开(公告)号：US10360508B1

公开(公告)日：2019-07-23

申请号：US14826074

申请日：2015-08-13

Applicant: Netflix, Inc.

Inventor： Carlos Gomez-Uribe ,  Vijay Bharadwaj ,  Antonio Molins Jiménez

IPC: G06N7/00 ,  G06N5/02

Abstract: A data processing method comprises receiving title interaction data, wherein the title interaction data specifies, an order in which users interacted with a plurality of titles; generating a plurality of statistical models, each statistical model of the plurality of statistical models specifying a plurality of probabilities, wherein the plurality of probabilities represent, for each first title of the plurality of titles and each second title of the plurality of titles, a likelihood that a user will interact with the first title then next interact with the second title; refining the plurality of statistical models based on the title interaction data; determining a plurality of weight values corresponding to the plurality of statistical models for a particular user; identifying, for the particular user, one or more recommended titles of the plurality of titles based on the plurality of weight values and the plurality of statistical models.

公开(公告)号：US11087338B2

公开(公告)日：2021-08-10

申请号：US16681730

申请日：2019-11-12

Applicant: NETFLIX, INC.

Inventor： Carlos Alberto Gomez Uribe ,  Vijay Bharadwaj

IPC: G06Q30/02

Abstract: One embodiment sets forth technique for computing a similarity score between two digital items is computed based on interaction histories associated with global users and interaction histories associated with local users. Global counts indicating the number of interactions associated with each unique pair of digital items are weighted based on a mixing rate. The weighted global counts are then combined with local counts to compute total counts. An effective interaction probability indicating the likelihood of a user interacting with one digital item in the pair of digital items after interacting with the other digital item in the pair is computed based on the total counts. The effective interaction probability is then corrected for noise, resulting in a similarity score indicating the similarity between the pair of digital items.

公开(公告)号：US09817827B2

公开(公告)日：2017-11-14

申请号：US13644318

申请日：2012-10-04

Applicant: NETFLIX Inc.

Inventor： Carlos Gomez Uribe ,  Mohammad Sabah ,  Vijay Bharadwaj ,  Sasi Parthasarathy ,  Siddharth Angrish

IPC: G06F7/00 ,  G06F17/30

CPC classification number: G06F17/30029

Abstract: Techniques are described for determining relationships between user activities and determining search results and content recommendations based on the relationships. A plays-related-to-searches application may determine a relationship score between plays of a media title and searches of a query by determining a distance between a projection of the search onto the space of the users and a projection of plays of the media title onto the space of the users. A plays-after-searches application may determine a score for plays of the streaming media title given the search by multiplying a number of times plays of the media title occur after the query is entered by the number of times any play occurs, and dividing by a product of the number of times plays of the media title occur after any query is entered and the number of times plays of any media title occur after the query is entered.

公开(公告)号：US09129214B1

公开(公告)日：2015-09-08

申请号：US13829064

申请日：2013-03-14

Applicant: NETFLIX, INC.

Inventor： Carlos Gomez-Uribe ,  Vijay Bharadwaj ,  Antonio Molins Jiménez

IPC: G06F17/00 ,  G06N5/02

CPC classification number: G06N7/005

Abstract: In an approach, a method comprises receiving title interaction data, wherein the title interaction data specifies, an order in which users interacted with a plurality of titles; generating a plurality of statistical models, each statistical model of the plurality of statistical models specifying a plurality of probabilities, wherein the plurality of probabilities represent, for each first title of the plurality of titles and each second title of the plurality of titles, a likelihood that a user will interact with the first title then next interact with the second title; refining the plurality of statistical models based on the title interaction data; determining a plurality of weight values corresponding to the plurality of statistical models for a particular user; identifying, for the particular user, one or more recommended titles of the plurality of titles based on the plurality of weight values and the plurality of statistical models.

Abstract translation: 在一种方法中，一种方法包括接收标题交互数据，其中标题交互数据指定用户与多个标题交互的顺序; 生成多个统计模型，所述多个统计模型的每个统计模型指定多个概率，其中，对于所述多个标题的每个第一标题和所述多个标题的每个第二标题，所述多个概率表示所述多个概率的概率， 用户将与第一标题交互，然后与第二标题交互; 基于标题交互数据来提炼多个统计模型; 确定对于特定用户对应于所述多个统计模型的多个权重值; 基于所述多个权重值和所述多个统计模型，为所述特定用户识别所述多​​个标题中的一个或多个推荐标题。

公开(公告)号：US10482519B1

公开(公告)日：2019-11-19

申请号：US14546859

申请日：2014-11-18

Applicant: NETFLIX, INC.

Inventor： Vijay Bharadwaj

IPC: G06Q30/06 ,  H04L29/06 ,  G06F16/9535

Abstract: One embodiment of the present invention sets forth techniques for generating recommendation sets for a first client device. A recommendation system receives, from the first client device, a first selection of a first recommended item included in a plurality of recommended items. The recommendation system identifies a second recommended item included in the plurality of recommended items that has not been selected. The recommendation system retrieves an authenticated negative item from a plurality of authenticated negative items. The recommendation system stores one or more entries in a log file comprising a plurality of entries, based on at least one of the first recommended item, the second recommended item, and the authenticated negative item. One advantage of the disclosed techniques is that the use of authenticated negative examples, also referred to herein as authenticated negative items, provides a more relevant set of recommendations for the user.

公开(公告)号：US09454530B2

公开(公告)日：2016-09-27

申请号：US13644548

申请日：2012-10-04

Applicant: NETFLIX Inc.

Inventor： Mohammad Sabah ,  Carlos Gomez-Uribe ,  Vijay Bharadwaj ,  Sasi Parthasarathy ,  Siddharth Angrish

IPC: G06F7/00 ,  G06F17/30

CPC classification number: G06F17/30029

Abstract: Techniques are described for determining relationships between user activities and determining search results and content recommendations based on the relationships. A plays-related-to-searches application may determine a relationship score between plays of a media title and searches of a query by determining a distance between a projection of the search onto the space of the users and a projection of plays of the media title onto the space of the users. A plays-after-searches application may determine a score for plays of the streaming media title given the search by multiplying a number of times plays of the media title occur after the query is entered by the number of times any play occurs, and dividing by a product of the number of times plays of the media title occur after any query is entered and the number of times plays of any media title occur after the query is entered.

Abstract translation: 描述了用于确定用户活动之间的关系并基于关系确定搜索结果和内容推荐的技术。 戏剧相关搜索应用可以通过确定搜索的投影到用户的空间和媒体标题的播放的投影之间的距离来确定媒体标题的播放与查询的搜索之间的关系得分 到用户的空间。 播放后搜索应用程序可以通过乘以在查询输入之后出现的媒体标题的播放次数乘以发生任何播放的次数，并且除以 媒体标题的播放次数的产物在输入任何查询后发生，并且在输入查询后发生任何媒体标题的播放次数。