公开(公告)号：US20240202456A1

公开(公告)日：2024-06-20

申请号：US18592150

申请日：2024-02-29

Applicant: TiVo Solutions Inc.

Inventor： David Arthur ,  Doug Mittendorf

IPC: G06F40/30 ,  G06F16/41 ,  G06F16/43

CPC classification number: G06F40/30 ,  G06F16/41 ,  G06F16/43

Abstract: Methods and system for determining a similarity relationship between a plurality of digital assets and a target digital asset comprises creating a normalized semantic feature vector associated with a search query, discovering the target asset based on the normalized semantic feature vector, generating a normalized latent feature vector associated with the target asset, comparing the normalized semantic feature vector with semantic feature vectors for each of the digital assets to generate a semantic comparison value, comparing the normalized target latent feature vector with latent feature vectors for each of the digital assets to generate a latent comparison value, blending the semantic comparison vector value with the latent feature comparison vector value to create a target comparison value for each of the digital assets, and reporting the digital assets having the highest target comparison values to the user or group of users.

公开(公告)号：US20240202455A1

公开(公告)日：2024-06-20

申请号：US18592140

申请日：2024-02-29

Applicant: TiVo Solutions Inc.

Inventor： David Arthur ,  Doug Mittendorf

IPC: G06F40/30 ,  G06F16/41 ,  G06F16/43

CPC classification number: G06F40/30 ,  G06F16/41 ,  G06F16/43

Abstract: Methods and system for determining a similarity relationship between a plurality of digital assets and a target digital asset comprises creating a normalized semantic feature vector associated with a search query, discovering the target asset based on the normalized semantic feature vector, generating a normalized latent feature vector associated with the target asset, comparing the normalized semantic feature vector with semantic feature vectors for each of the digital assets to generate a semantic comparison value, comparing the normalized target latent feature vector with latent feature vectors for each of the digital assets to generate a latent comparison value, blending the semantic comparison vector value with the latent feature comparison vector value to create a target comparison value for each of the digital assets, and reporting the digital assets having the highest target comparison values to the user or group of users.

公开(公告)号：US11580306B2

公开(公告)日：2023-02-14

申请号：US16419547

申请日：2019-05-22

Applicant: TiVo Solutions, Inc.

Inventor： David Arthur ,  Doug Mittendorf

IPC: G06F40/30 ,  G06F16/43 ,  G06F16/41

Abstract: Methods and system for determining a similarity relationship between a plurality of digital assets and a target digital asset comprises creating a normalized semantic feature vector associated with a search query, discovering the target asset based on the normalized semantic feature vector, generating a normalized latent feature vector associated with the target asset, comparing the normalized semantic feature vector with semantic feature vectors for each of the digital assets to generate a semantic comparison value, comparing the normalized target latent feature vector with latent feature vectors for each of the digital assets to generate a latent comparison value, blending the semantic comparison vector value with the latent feature comparison vector value to create a target comparison value for each of the digital assets, and reporting the digital assets having the highest target comparison values to the user or group of users.

公开(公告)号：US20230161967A1

公开(公告)日：2023-05-25

申请号：US18093924

申请日：2023-01-06

Applicant: TiVo Solutions Inc.

Inventor： David Arthur ,  Doug Mittendorf

IPC: G06F40/30 ,  G06F16/43 ,  G06F16/41

CPC classification number: G06F40/30 ,  G06F16/43 ,  G06F16/41

Abstract: Methods and system for determining a similarity relationship between a plurality of digital assets and a target digital asset comprises creating a normalized semantic feature vector associated with a search query, discovering the target asset based on the normalized semantic feature vector, generating a normalized latent feature vector associated with the target asset, comparing the normalized semantic feature vector with semantic feature vectors for each of the digital assets to generate a semantic comparison value, comparing the normalized target latent feature vector with latent feature vectors for each of the digital assets to generate a latent comparison value, blending the semantic comparison vector value with the latent feature comparison vector value to create a target comparison value for each of the digital assets, and reporting the digital assets having the highest target comparison values to the user or group of users.

公开(公告)号：US20190272326A1

公开(公告)日：2019-09-05

申请号：US16419547

申请日：2019-05-22

Applicant: TiVo Solutions, Inc.

Inventor： David Arthur ,  Doug Mittendorf

IPC: G06F17/27 ,  G06F16/41 ,  G06F16/43

Abstract: Methods and system for determining a similarity relationship between a plurality of digital assets and a target digital asset comprises creating a normalized semantic feature vector associated with a search query, discovering the target asset based on the normalized semantic feature vector, generating a normalized latent feature vector associated with the target asset, comparing the normalized semantic feature vector with semantic feature vectors for each of the digital assets to generate a semantic comparison value, comparing the normalized target latent feature vector with latent feature vectors for each of the digital assets to generate a latent comparison value, blending the semantic comparison vector value with the latent feature comparison vector value to create a target comparison value for each of the digital assets, and reporting the digital assets having the highest target comparison values to the user or group of users.

公开(公告)号：US10331785B2

公开(公告)日：2019-06-25

申请号：US13778771

申请日：2013-02-27

Applicant: TiVo Solutions Inc.

Inventor： David Arthur ,  Doug Mittendorf

IPC: G06F17/27 ,  G06F16/43 ,  G06F16/41

Abstract: Methods and system for determining a similarity relationship between a plurality of digital assets and a target digital asset comprises creating a normalized semantic feature vector associated with a search query, discovering the target asset based on the normalized semantic feature vector, generating a normalized latent feature vector associated with the target asset, comparing the normalized semantic feature vector with semantic feature vectors for each of the digital assets to generate a semantic comparison value, comparing the normalized target latent feature vector with latent feature vectors for each of the digital assets to generate a latent comparison value, blending the semantic comparison vector value with the latent feature comparison vector value to create a target comparison value for each of the digital assets, and reporting the digital assets having the highest target comparison values to the user or group of users.