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1.
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
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.
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2.
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
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.
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公开(公告)号:US20200304850A1
公开(公告)日:2020-09-24
申请号:US16843500
申请日:2020-04-08
Applicant: TIVO SOLUTIONS INC.
Inventor: Pratik Hasmukh Patel , David Stuart Luks , Thomas William Becker , Bryan Stephen Scappini , Doug Mittendorf , Richard Lee , Kevin P. Smith
IPC: H04N21/25 , H04N21/262 , H04N21/442 , H04N21/258
Abstract: Techniques, systems, and methods are disclosed to generate messaging to view content on media devices based on predictive factors. Information may be received to trigger one or more predictive factors and then generate a candidate set of offers to view content at a media device based on the information. Based on the one or more predictive factors, confidence values may be determined for each offer in the candidate set of offers. The candidate set of offers may be ranked based on the associated confidence values. Subsequently, presentation of at least one offer of the candidate set of offers may be caused to display in a user interface screen on the media device based on the ranking.
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4.
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
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.
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5.
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
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.
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6.
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
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.
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公开(公告)号:US12047622B2
公开(公告)日:2024-07-23
申请号:US16843500
申请日:2020-04-08
Applicant: TIVO SOLUTIONS INC.
Inventor: Pratik Hasmukh Patel , David Stuart Luks , Thomas William Becker , Bryan Stephen Scappini , Doug Mittendorf , Richard Lee , Kevin P. Smith
IPC: H04N21/25 , H04N21/258 , H04N21/262 , H04N21/442 , H04N21/45 , H04N21/466
CPC classification number: H04N21/251 , H04N21/25891 , H04N21/26241 , H04N21/44224 , H04N21/4532 , H04N21/4668
Abstract: Techniques, systems, and methods are disclosed to generate messaging to view content on media devices based on predictive factors. Information may be received to trigger one or more predictive factors and then generate a candidate set of offers to view content at a media device based on the information. Based on the one or more predictive factors, confidence values may be determined for each offer in the candidate set of offers. The candidate set of offers may be ranked based on the associated confidence values. Subsequently, presentation of at least one offer of the candidate set of offers may be caused to display in a user interface screen on the media device based on the ranking.
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8.
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
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.
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公开(公告)号:US10652599B2
公开(公告)日:2020-05-12
申请号:US15486033
申请日:2017-04-12
Applicant: TiVo Solutions Inc.
Inventor: Pratik Hasmukh Patel , David Stuart Luks , Thomas William Becker , Bryan Stephen Scappini , Doug Mittendorf , Richard Lee , Kevin P. Smith
IPC: H04N21/25 , H04N21/442 , H04N21/258 , H04N21/466 , H04N21/45 , H04N21/262
Abstract: Techniques, systems, and methods are disclosed to generate messaging to view content on media devices based on predictive factors. Information may be received to trigger one or more predictive factors and then generate a candidate set of offers to view content at a media device based on the information. Based on the one or more predictive factors, confidence values may be determined for each offer in the candidate set of offers. The candidate set of offers may be ranked based on the associated confidence values. Subsequently, presentation of at least one offer of the candidate set of offers may be caused to display in a user interface screen on the media device based on the ranking.
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公开(公告)号:US20180302677A1
公开(公告)日:2018-10-18
申请号:US15486033
申请日:2017-04-12
Applicant: TiVo Solutions Inc.
Inventor: Pratik Hasmukh Patel , David Stuart Luks , Thomas William Becker , Bryan Stephen Scappini , Doug Mittendorf , Richard Lee , Kevin P. Smith
IPC: H04N21/466 , H04N21/262 , H04N21/485 , H04N21/45
Abstract: Techniques, systems, and methods are disclosed to generate messaging to view content on media devices based on predictive factors. Information may be received to trigger one or more predictive factors and then generate a candidate set of offers to view content at a media device based on the information. Based on the one or more predictive factors, confidence values may be determined for each offer in the candidate set of offers. The candidate set of offers may be ranked based on the associated confidence values. Subsequently, presentation of at least one offer of the candidate set of offers may be caused to display in a user interface screen on the media device based on the ranking.
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