公开(公告)号：US20220012297A1

公开(公告)日：2022-01-13

申请号：US17277820

申请日：2020-02-28

申请人： Suddha Kalyan Basu ,  Wei Fan ,  Daniel Glasner ,  Sushrut Suresh Karanjkar ,  Thomas Richard Strohmann ,  Shubhang Verma ,  Manas Ashok Pathak ,  Wenyuan Yin ,  Sundeep Tirumalareddy

发明人： Suddha Kalyan Basu ,  Wei Fan ,  Daniel Glasner ,  Sushrut Suresh Karanjkar ,  Thomas Richard Strohmann ,  Shubhang Verma ,  Manas Ashok Pathak ,  Wenyuan Yin ,  Sundeep Tirumalareddy

IPC分类号： G06F16/9538 ,  G06F16/583 ,  G06F16/587 ,  G06F16/538 ,  G06N3/02

摘要： Methods, systems, and apparatus including computer programs encoded on a computer storage medium, for retrieving image search results using embedding neural network models. In one aspect, an image search query is received. A respective pair numeric embedding for each of a plurality of image-landing page pairs is determined. Each pair numeric embedding is a numeric representation in an embedding space. An image search query embedding neural network processes features of the image search query and generates a query numeric embedding. The query numeric embedding is a numeric representation of the image search query in the same embedding space. A subset of the image-landing page pairs having pair numeric embeddings that are closest to the query numeric embedding of the image search query in the embedding space are identified as first candidate image search results.

公开(公告)号：US20130151540A1

公开(公告)日：2013-06-13

申请号：US13314748

申请日：2011-12-08

申请人： Manas Ashok Pathak ,  Richard Chow ,  Runting Shi ,  Cong Wang

发明人： Manas Ashok Pathak ,  Richard Chow ,  Runting Shi ,  Cong Wang

IPC分类号： G06F17/30

CPC分类号： G06Q10/101 ,  G06Q30/0282

摘要： A recommender system can generate a predicted item rating for one user by performing collaborative filtering on item ratings from other users. The recommender system can include a client device that interfaces with a server to obtain a predicted item rating for a local user. The client device can generate a standardized ratings vector for the user, and computes a group identifier for the user based on the standardized ratings vector. The system also generates a noisy ratings vector for the local user, and sends a user-ratings snapshot to a recommendation server that includes the group identifier and the noisy ratings vector. The recommender system can also include the recommendation server that generates a predicted item rating for the user by performing collaborative filtering on ratings vectors from a plurality of other users that belong to the same ratings group.

摘要翻译： 推荐系统可以通过对来自其他用户的商品评级进行协作过滤来为一个用户生成预测商品评级。 推荐系统可以包括与服务器接口以获得本地用户的预测项目评级的客户端设备。 客户端设备可以为用户生成标准化的等级向量，并且基于标准化的等级向量来计算用户的组标识符。 该系统还为本地用户生成噪声评估矢量，并将用户评级快照发送到包括组标识符和噪声评级矢量的推荐服务器。 推荐系统还可以包括通过对来自属于相同评级组的多个其他用户的评级矢量进行协同过滤来为用户生成预测项目评级的推荐服务器。

公开(公告)号：US08478768B1

公开(公告)日：2013-07-02

申请号：US13314748

申请日：2011-12-08

申请人： Manas Ashok Pathak ,  Richard Chow ,  Runting Shi ,  Cong Wang

发明人： Manas Ashok Pathak ,  Richard Chow ,  Runting Shi ,  Cong Wang

IPC分类号： G06F7/00 ,  G06F17/30

CPC分类号： G06Q10/101 ,  G06Q30/0282

摘要： A recommender system can generate a predicted item rating for one user by performing collaborative filtering on item ratings from other users. The recommender system can include a client device that interfaces with a server to obtain a predicted item rating for a local user. The client device can generate a standardized ratings vector for the user, and computes a group identifier for the user based on the standardized ratings vector. The system also generates a noisy ratings vector for the local user, and sends a user-ratings snapshot to a recommendation server that includes the group identifier and the noisy ratings vector. The recommender system can also include the recommendation server that generates a predicted item rating for the user by performing collaborative filtering on ratings vectors from a plurality of other users that belong to the same ratings group.

摘要翻译： 推荐系统可以通过对来自其他用户的商品评级进行协作过滤来为一个用户生成预测商品评级。 推荐系统可以包括与服务器接口以获得本地用户的预测项目评级的客户端设备。 客户端设备可以为用户生成标准化的等级向量，并且基于标准化的等级向量来计算用户的组标识符。 该系统还为本地用户生成噪声评估矢量，并将用户评级快照发送到包括组标识符和噪声评级矢量的推荐服务器。 推荐系统还可以包括通过对来自属于相同评级组的多个其他用户的评级矢量进行协同过滤来为用户生成预测项目评级的推荐服务器。

公开(公告)号：US20130159192A1

公开(公告)日：2013-06-20

申请号：US13329020

申请日：2011-12-16

申请人： Kurt Partridge ,  Ersin Uzun ,  Cong Wang ,  Manas Ashok Pathak

发明人： Kurt Partridge ,  Ersin Uzun ,  Cong Wang ,  Manas Ashok Pathak

IPC分类号： G06Q30/02 ,  H04L9/28

CPC分类号： G06Q30/02 ,  G06Q30/0207

摘要： A smart coupon-delivery system provides targeted coupons to a user using a criteria-encoded message received from a coupon server. The criteria-encoded message is generated by the coupon server from a behavior-criteria vector that indicates criteria for selecting a recipient of a digital coupon. The system then generates a user-behavior vector to indicate one or more behavior patterns of an end-user, and encodes the user-behavior vector to produce a behavior-encoded message. The system then determines whether the end-user is eligible to receive the digital coupon based on the criteria-encoded message and the behavior-encoded message. If the system determines that the end-user is eligible, the system presents the digital coupon to the end-user.

摘要翻译： 智能优惠券递送系统使用从优惠券服务器接收的标准编码消息向用户提供目标优惠券。 标准编码消息由优惠券服务器根据指示用于选择数字优惠券接收者的标准的行为标准向量生成。 系统然后生成用户行为向量以指示最终用户的一个或多个行为模式，并对用户行为向量进行编码以产生行为编码消息。 系统然后基于标准编码消息和行为编码消息来确定最终用户是否有资格接收数字优惠券。 如果系统确定最终用户符合资格，系统会向终端用户显示数字优惠券。

公开(公告)号：US08874485B2

公开(公告)日：2014-10-28

申请号：US13329020

申请日：2011-12-16

申请人： Kurt Partridge ,  Ersin Uzun ,  Cong Wang ,  Manas Ashok Pathak

发明人： Kurt Partridge ,  Ersin Uzun ,  Cong Wang ,  Manas Ashok Pathak

IPC分类号： G06F21/00 ,  G06Q30/00

CPC分类号： G06Q30/02 ,  G06Q30/0207

摘要： A smart coupon-delivery system provides targeted coupons to a user using a criteria-encoded message received from a coupon server. The criteria-encoded message is generated by the coupon server from a behavior-criteria vector that indicates criteria for selecting a recipient of a digital coupon. The system then generates a user-behavior vector to indicate one or more behavior patterns of an end-user, and encodes the user-behavior vector to produce a behavior-encoded message. The system then determines whether the end-user is eligible to receive the digital coupon based on the criteria-encoded message and the behavior-encoded message. If the system determines that the end-user is eligible, the system presents the digital coupon to the end-user.

摘要翻译： 智能优惠券递送系统使用从优惠券服务器接收的标准编码消息向用户提供目标优惠券。 标准编码消息由优惠券服务器根据指示用于选择数字优惠券接收者的标准的行为标准向量生成。 系统然后生成用户行为向量以指示最终用户的一个或多个行为模式，并对用户行为向量进行编码以产生行为编码消息。 系统然后基于标准编码消息和行为编码消息来确定最终用户是否有资格接收数字优惠券。 如果系统确定最终用户符合资格，系统会向终端用户显示数字优惠券。