公开(公告)号：US20240330609A1

公开(公告)日：2024-10-03

申请号：US18742539

申请日：2024-06-13

Applicant: Rovi Guides, Inc.

Inventor： Ajay Kumar Mishra ,  Jeffry Copps Robert Jose

IPC: G06F40/58 ,  H04L67/04 ,  H04L67/52

CPC classification number: G06F40/58 ,  H04L67/04 ,  H04L67/52

Abstract: Systems and methods are presented herein for generating a new language understanding model, based on a user request. A user may input a root language and a locale into an application for generating a student language model. The application may generate the student language model and may identify a teacher language model related to the student language model. The application may compare data from the identified teacher language model to the student language model. The application may determine a subset of data from the teacher language model is not contained in the student language model. If the application determines at least a subset of data from the teacher language model is not in the student language model, the application may add at least the subset of data from the teacher language model to the student language model.

公开(公告)号：US20240265213A1

公开(公告)日：2024-08-08

申请号：US18436347

申请日：2024-02-08

Applicant: Rovi Guides, Inc.

Inventor： Ajay Kumar Mishra ,  Jeffry Copps Robert Jose

IPC: G06F40/58 ,  G06F16/2452 ,  G06F40/263 ,  G06F40/47 ,  G06F40/51

CPC classification number: G06F40/58 ,  G06F16/24522 ,  G06F40/263 ,  G06F40/47 ,  G06F40/51

Abstract: Systems and methods for handling multilingual queries are provided. One example method includes receiving, at a computing device, an input, wherein the input comprises a multi-lingual query comprising at least a first source language and a second source language. The multi-lingual query is translated, word for word, into a destination language to produce a monolingual query, with the word order of the multilingual query and the word order of the monolingual query being the same. The monolingual query is processed using natural language processing to map the mono-lingual query to a natural language query in the destination language.

公开(公告)号：US12039265B2

公开(公告)日：2024-07-16

申请号：US17108549

申请日：2020-12-01

Applicant: Rovi Guides, Inc.

Inventor： Ajay Kumar Mishra ,  Jeffry Copps Robert Jose

IPC: G06F40/279 ,  G06F16/2455 ,  G06F40/263 ,  G06N20/00

CPC classification number: G06F40/279 ,  G06F16/2455 ,  G06F40/263 ,  G06N20/00

Abstract: Systems and methods are presented herein for generating a new language understanding model, based on a user request. A user may input a root language and a locale into an application for generating a student language model. The application may generate the student language model and may identify a teacher language model related to the student language model. The application may compare data from the identified teacher language model to the student language model. The application may determine a subset of data from the teacher language model is not contained in the student language model. If the application determines at least a subset of data from the teacher language model is not in the student language model, the application may add at least the subset of data from the teacher language model to the student language model.

公开(公告)号：US20220036657A1

公开(公告)日：2022-02-03

申请号：US16940982

申请日：2020-07-28

Applicant: Rovi Guides, Inc.

Inventor： Aashish Goyal ,  Ajay Kumar Mishra ,  Jeffry Copps Robert Jose

IPC: G06T19/00 ,  G06Q30/02 ,  G06K9/62 ,  G06N20/00

Abstract: Insertion of supplemental content into a virtual environment is automated using a machine learning model. The machine learning model is trained to calculate a confidence value that a candidate virtual object fits into a virtual environment based on an input that includes a candidate virtual object, a list of persistent virtual objects, and a list of temporary virtual objects. The machine learning model is trained using the persistent and temporary objects displayed in the current virtual environment until it predicts that a selected virtual object fits into the current virtual environment. The trained machine learning model is then used to select a virtual object comprising supplemental content to be inserted as a new virtual object in the virtual environment.

公开(公告)号：US20210279264A1

公开(公告)日：2021-09-09

申请号：US16807422

申请日：2020-03-03

Applicant: Rovi Guides, Inc.

Inventor： Jeffry Copps Robert Jose ,  Ajay Kumar Mishra

IPC: G06F16/33 ,  G06F40/295 ,  G06F16/338 ,  G06N3/08

Abstract: A natural language search is interpreted through use of machine learning, such as using one or more neural networks. After identifying a number of terms in the natural language search query, a vector is generated for each term describing a relationship between each term and a plurality of other terms. Each vector is then input into a trained neural network that generates an output based on the input vectors. The natural language search query is then interpreted based on the output of the neural network.

公开(公告)号：US20240160613A1

公开(公告)日：2024-05-16

申请号：US18422624

申请日：2024-01-25

Applicant: Rovi Guides, Inc.

Inventor： Jeffry Copps Robert Jose ,  Ajay Kumar Mishra

IPC: G06F16/22 ,  G06F16/242 ,  G06F16/2455

CPC classification number: G06F16/2228 ,  G06F16/243 ,  G06F16/2455

Abstract: A frequency of occurrence for each term in a training data set is determined in relation to the entire training data set. A relational data structure is generated that associates each term in the training data with its respective frequency. Any term that has a frequency below a threshold frequency is then added to a list of relevant words. When a natural language search query is received, a plurality of terms in the natural language search query are identified and compared with the list of relevant words. If any term of the natural language search query is included in the relevant words list, that term is identified as a keyword. The natural language search query is then interpreted based on any identified keywords.

公开(公告)号：US20230017352A1

公开(公告)日：2023-01-19

申请号：US17363651

申请日：2021-06-30

Applicant: Rovi Guides, Inc.

Inventor： Ajay Kumar Mishra ,  Jeffry Copps Robert Jose

IPC: G10L15/187 ,  G10L15/18 ,  G06N5/02 ,  G06F16/632 ,  G06F16/68 ,  G06F16/683

Abstract: Systems and methods are described for modifying a phonetic search index based on a use frequency associated with phonetic representations of text terms included in metadata of a media item. A first phonetic representation of a text term of the metadata, pronounced as a word, may be generated. A second phonetic representation of the text term may be generated by concatenating a phonetic representation of each letter in the text term. A database may be queried to determine use frequencies of the first and second phonetic representations, one of which may be selected based on a comparison of the use frequencies. A phonetic search index may be modified by including an entry for the selected phonetic representation. A voice query related to the media item may be received, and a reply to the voice query may be generated for output by performing a lookup in the modified phonetic search index.

公开(公告)号：US20220171929A1

公开(公告)日：2022-06-02

申请号：US17108549

申请日：2020-12-01

Applicant: Rovi Guides, Inc.

Inventor： Ajay Kumar Mishra ,  Jeffry Copps Robert Jose

IPC: G06F40/279 ,  G06F40/263 ,  G06N20/00 ,  G06F16/2455

Abstract: Systems and methods are presented herein for generating a new language understanding model, based on a user request. A user may input a root language and a locale into an application for generating a student language model. The application may generate the student language model and may identify a teacher language model related to the student language model. The application may compare data from the identified teacher language model to the student language model. The application may determine a subset of data from the teacher language model is not contained in the student language model. If the application determines at least a subset of data from the teacher language model is not in the student language model, the application may add at least the subset of data from the teacher language model to the student language model.

公开(公告)号：US20220100741A1

公开(公告)日：2022-03-31

申请号：US17038643

申请日：2020-09-30

Applicant: Rovi Guides, Inc.

Inventor： Jeffry Copps Robert Jose ,  Ajay Kumar Mishra

IPC: G06F16/242 ,  G06F16/248 ,  G06F16/28 ,  G06F16/2457 ,  G10L15/26

Abstract: Systems and methods are described herein for interpreting natural language search queries that account for contextual relevance of words of the search query that would ordinarily not be processed, including, for example, processing each word of the query. Each term or phrase is associated with a respective part of speech, and a frequency of occurrence of a combination of adjacent terms or phrases public domain is determined. A relevance of each term is then determined based on its respective type of term and frequency of occurrence in the public domain. The natural language search query is then interpreted based on the importance or relevance of each term.

公开(公告)号：US20220076489A1

公开(公告)日：2022-03-10

申请号：US17014309

申请日：2020-09-08

Applicant: Rovi Guides, Inc.

Inventor： Ajay Kumar Mishra ,  Jeffry Copps Robert Jose

IPC: G06T19/00 ,  G06K9/00 ,  G06K9/62 ,  G06T7/70

Abstract: Systems and methods are disclosed herein for presenting supplemental content in an extended reality (XR) environment. The system may receive fields of view of an XR environment and generate a data stream representing the fields of view, the data stream comprising, for each field of view, a data structure including at least one object identifier corresponding to a visual item appearing on the respective field of view, and field coordinates representing the position of the field of view in the XR environment. The system may compute an importance score using an occurrence number of the object identifier and a view change rate using the field coordinates. In response to the importance score exceeding an importance threshold, the system generates instructions for displaying in the XR environment supplemental content, related to the visual item.