公开(公告)号：US20230297630A1

公开(公告)日：2023-09-21

申请号：US18176429

申请日：2023-02-28

申请人： xAd, Inc.

发明人： Prakash Muttineni ,  Huitao Luo ,  Pravesh Katyal ,  Al Rashid ,  Akshay Tilak ,  Shanshan Tuo

IPC分类号： G06F16/951 ,  H04W4/021 ,  G06F16/23

CPC分类号： G06F16/951 ,  H04W4/021 ,  G06F16/23 ,  G06N7/01

摘要： The present disclosure provides novel techniques to derive characteristic of mobile entities based signals from mobile devices associated with these mobile entities. In certain embodiments, a data file is built for each mobile entity to transform originally extremely high dimensional raw data derived from mobile devices communicating with a network into structured data characterizing associated mobile entities. The data file are structured for filtering and searching with respect to location and non-location features. A plurality of filters for a behavioral segment are applied to the data files of a large number of mobile entities. The plurality of filters including a preset hard constraint (HC) filter, a preset soft constraint (SC) filter, and an extended constraint (EC) filter built using location features in data files that have passed through the HC filter and/or the SC filter. In further embodiments, a search index and a search query for a search engine are generated for the behavioral segment based on the filtered data files, and the search query is run against the search index through the data files that have passed the HC filter to search for more data files to add to the segment.

公开(公告)号：US20240303284A1

公开(公告)日：2024-09-12

申请号：US18596608

申请日：2024-03-05

申请人： xAd, Inc.

发明人： Prakash Muttineni ,  Huitao Luo ,  Pravesh Katyal ,  Al Rashid ,  Akshay Tilak ,  Shanshan Tuo

IPC分类号： G06F16/951 ,  G06F16/23 ,  G06F16/25 ,  G06F16/9538 ,  G06N7/01 ,  H04W4/021

CPC分类号： G06F16/951 ,  G06F16/23 ,  G06F16/25 ,  G06F16/9538 ,  H04W4/021 ,  G06N7/01

摘要： The present disclosure provides novel techniques to segment mobile entities based signals from mobile devices associated with these mobile entities. In certain embodiments, a first set of mobile entities and a second set of mobile entities are determined based at least on first and second predefined constraints. A feature set related to a mobile segment is also identified, the feature set including a plurality of features. A plurality of feature gains corresponding, respectively, to the plurality of features are then determined, and a set of mobile entities are add to the mobile segment based at least one the plurality of feature gains, and for each particular feature of the plurality of features, frequency of events associated with each of the set of mobile entities and having the particular feature.

公开(公告)号：US11921800B2

公开(公告)日：2024-03-05

申请号：US18176429

申请日：2023-02-28

申请人： xAd, Inc.

发明人： Prakash Muttineni ,  Huitao Luo ,  Pravesh Katyal ,  Al Rashid ,  Akshay Tilak ,  Shanshan Tuo

IPC分类号： G06F16/951 ,  G06F16/23 ,  G06F16/25 ,  G06F16/9538 ,  H04W4/021 ,  G06N7/01

CPC分类号： G06F16/951 ,  G06F16/23 ,  G06F16/25 ,  G06F16/9538 ,  H04W4/021 ,  G06N7/01

摘要： The present disclosure provides novel techniques to segment mobile entities based on signals from mobile devices associated with these mobile entities. In certain embodiments, a data file is built for each mobile entity to transform originally extremely high dimensional raw data derived from mobile devices communicating with a network into structured data characterizing associated mobile entities. The data files are structured for filtering and searching with respect to features associated with the signals from mobile devices, including location and non-location features. The data files are used to determine feature gains corresponding respectively to features related to a mobile segment. The features include first features of a first type and second features of a second type. The feature gains are used, among other things, to rank mobile entities for the mobile segment, with feature gains corresponding to the first features given a larger weight than feature gains corresponding to the second features.

公开(公告)号：US20210256074A1

公开(公告)日：2021-08-19

申请号：US17182212

申请日：2021-02-22

申请人： xAd, Inc.

发明人： Prakash Muttineni ,  Huitao Luo ,  Pravesh Katyal ,  Al Rashid ,  Akshay Tilak ,  Shanshan Tuo

IPC分类号： G06F16/951 ,  H04W4/021 ,  G06F16/23

摘要： The present disclosure provides novel techniques to derive characteristic of mobile entities based signals from mobile devices associated with these mobile entities. In certain embodiments, a data file is built for each mobile entity to transform originally extremely high dimensional raw data derived from mobile devices communicating with a network into structured data characterizing associated mobile entities. The data file are structured for filtering and searching with respect to location and non-location features. A plurality of filters for a behavioral segment are applied to the data files of a large number of mobile entities. The plurality of filters including a preset hard constraint (HC) filter, a preset soft constraint (SC) filter, and an extended constraint (EC) filter built using location features in data files that have passed through the HC filter and/or the SC filter. In further embodiments, a search index and a search query for a search engine are generated for the behavioral segment based on the filtered data files, and the search query is run against the search index through the data files that have passed the HC filter to search for more data files to add to the segment.

公开(公告)号：US11593442B2

公开(公告)日：2023-02-28

申请号：US17182212

申请日：2021-02-22

申请人： xAd, Inc.

发明人： Prakash Muttineni ,  Huitao Luo ,  Pravesh Katyal ,  Al Rashid ,  Akshay Tilak ,  Shanshan Tuo

IPC分类号： G06F16/951 ,  H04W4/021 ,  G06F16/23 ,  G06N7/00

摘要： The present disclosure provides novel techniques to derive characteristic of mobile entities based signals from mobile devices associated with these mobile entities. In certain embodiments, a data file is built for each mobile entity to transform originally extremely high dimensional raw data derived from mobile devices communicating with a network into structured data characterizing associated mobile entities. The data file are structured for filtering and searching with respect to location and non-location features. A plurality of filters for a behavioral segment are applied to the data files of a large number of mobile entities. The plurality of filters including a preset hard constraint (HC) filter, a preset soft constraint (SC) filter, and an extended constraint (EC) filter built using location features in data files that have passed through the HC filter and/or the SC filter. In further embodiments, a search index and a search query for a search engine are generated for the behavioral segment based on the filtered data files, and the search query is run against the search index through the data files that have passed the HC filter to search for more data files to add to the segment.

公开(公告)号：US10929483B2

公开(公告)日：2021-02-23

申请号：US15909894

申请日：2018-03-01

申请人： XAD, INC.

发明人： Prakash Muttineni ,  Huitao Luo ,  Pravesh Katyal ,  Al Rashid ,  Akshay Tilak ,  Shanshan Tuo

IPC分类号： G06F17/30 ,  G06F16/951 ,  H04W4/021 ,  G06F16/23 ,  G06N7/00

摘要： The present disclosure provides novel techniques to derive characteristic of mobile entities based signals from mobile devices associated with these mobile entities. In certain embodiments, a data file is built for each mobile entity to transform originally extremely high dimensional raw data derived from mobile devices communicating with a network into structured data characterizing associated mobile entities. The data file are structured for filtering and searching with respect to location and non-location features. A plurality of filters for a behavioral segment are applied to the data files of a large number of mobile entities. The plurality of filters including a preset hard constraint (HC) filter, a preset soft constraint (SC) filter, and an extended constraint (EC) filter built using location features in data files that have passed through the HC filter and/or the SC filter. In further embodiments, a search index and a search query for a search engine are generated for the behavioral segment based on the filtered data files, and the search query is run against the search index through the data files that have passed the HC filter to search for more data files to add to the segment.

公开(公告)号：US20180253497A1

公开(公告)日：2018-09-06

申请号：US15909894

申请日：2018-03-01

申请人： XAD, INC.

发明人： Prakash Muttineni ,  Huitao Luo ,  Pravesh Katyal ,  Al Rashid ,  Akshay Tilak ,  Shanshan Tuo

IPC分类号： G06F17/30 ,  G06N7/00 ,  H04W4/021

CPC分类号： G06F16/951 ,  G06F16/23 ,  G06N7/005 ,  H04W4/021

摘要： The present disclosure provides novel techniques to derive characteristic of mobile entities based signals from mobile devices associated with these mobile entities. In certain embodiments, a data file is built for each mobile entity to transform originally extremely high dimensional raw data derived from mobile devices communicating with a network into structured data characterizing associated mobile entities. The data file are structured for filtering and searching with respect to location and non-location features. A plurality of filters for a behavioral segment are applied to the data files of a large number of mobile entities. The plurality of filters including a preset hard constraint (HC) filter, a preset soft constraint (SC) filter, and an extended constraint (EC) filter built using location features in data files that have passed through the HC filter and/or the SC filter. In further embodiments, a search index and a search query for a search engine are generated for the behavioral segment based on the filtered data files, and the search query is run against the search index through the data files that have passed the HC filter to search for more data files to add to the segment.