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1.
公开(公告)号:US20240184840A1
公开(公告)日:2024-06-06
申请号:US18438128
申请日:2024-02-09
Applicant: MFTB Holdco, Inc.
Inventor: Sangdi Lin , Anish Khazane , Zachary Harrison , Philip Foeckler , Saeid Balaneshinkordan , Joshua Urbanovsky , George Busby , Ondrej Linda , Siddhi Vakil , Joshua Gnanayutham
IPC: G06F16/9538 , G06F16/958 , G06Q30/0601 , G06Q50/163
CPC classification number: G06F16/9538 , G06F16/958 , G06Q30/0643 , G06Q50/163
Abstract: Systems and methods for rearranging tags on a graphical user interface (GUI) based on known and unknown levels of web traffic are disclosed. To provide users with real estate listings that have popular home attributes with respect to a given region, the system uses known user interaction information to determine predicted user interaction information for real estate listing phrases (e.g., tags) that are associated with unknown user interaction information. The system then ranks the real estate listing phrases based on each real estate listing phrase's user interaction information. Based on the ranked real estate listing phrases, the system generates for display the highest ranked real estate listing phrase in association with a real estate listing being associated with the real estate listing phrase.
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公开(公告)号:US12216724B2
公开(公告)日:2025-02-04
申请号:US18438128
申请日:2024-02-09
Applicant: MFTB Holdco, Inc.
Inventor: Sangdi Lin , Anish Khazane , Zachary Harrison , Philip Foeckler , Saeid Balaneshinkordan , Joshua Urbanovsky , George Busby , Ondrej Linda , Siddhi Vakil , Joshua Gnanayutham
IPC: G06F16/00 , G06F16/9538 , G06F16/958 , G06Q30/0601 , G06Q50/163
Abstract: Systems and methods for rearranging tags on a graphical user interface (GUI) based on known and unknown levels of web traffic are disclosed. To provide users with real estate listings that have popular home attributes with respect to a given region, the system uses known user interaction information to determine predicted user interaction information for real estate listing phrases (e.g., tags) that are associated with unknown user interaction information. The system then ranks the real estate listing phrases based on each real estate listing phrase's user interaction information. Based on the ranked real estate listing phrases, the system generates for display the highest ranked real estate listing phrase in association with a real estate listing being associated with the real estate listing phrase.
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公开(公告)号:US11921806B2
公开(公告)日:2024-03-05
申请号:US17859918
申请日:2022-07-07
Applicant: MFTB Holdco, Inc.
Inventor: Sangdi Lin , Anish Khazane , Zachary Harrison , Philip Foeckler , Saeid Balaneshinkordan , Joshua Urbanovsky , George Busby , Ondrej Linda , Siddhi Vakil , Joshua Gnanayutham
IPC: G06F16/00 , G06F16/9538 , G06F16/958 , G06Q30/0601
CPC classification number: G06F16/9538 , G06F16/958 , G06Q30/0643 , G06Q50/163
Abstract: Systems and methods for rearranging tags on a graphical user interface (GUI) based on known and unknown levels of web traffic are disclosed. To provide users with real estate listings that have popular home attributes with respect to a given region, the system uses known user interaction information to determine predicted user interaction information for real estate listing phrases (e.g., tags) that are associated with unknown user interaction information. The system then ranks the real estate listing phrases based on each real estate listing phrase's user interaction information. Based on the ranked real estate listing phrases, the system generates for display the highest ranked real estate listing phrase in association with a real estate listing being associated with the real estate listing phrase.
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4.
公开(公告)号:US20240070741A1
公开(公告)日:2024-02-29
申请号:US17898953
申请日:2022-08-30
Applicant: MFTB Holdco, Inc.
Inventor: Sangdi Lin , Egor Klevak , Joshua Urbanovsky , Michael Messenger , Ondrej Linda , Siddhi Vakil
CPC classification number: G06Q30/0627 , G06Q30/0201 , G06Q30/0643 , G06Q50/165 , G06F16/29
Abstract: Systems and methods for providing visual indications of time sensitive real estate listing information on a Graphical User Interface (GUI) are disclosed. To provide users with visual indications of real estate listings that may sell soon with respect to a given region, the system uses days-sold information, real estate listing attributes, and user interaction data corresponding to a set of real estate listings associated with a given region to train a machine learning model to generate a selling soon prediction. The system then provides a days-on-market value, a set of home attributes, and user interaction data associated with a subject real estate listing as input to the machine learning model. The system then generates a selling soon prediction by applying the machine learning model and generates for display, on a GUI displaying information of the subject real estate listing, a visual indication of the selling soon prediction.
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5.
公开(公告)号:US20240012865A1
公开(公告)日:2024-01-11
申请号:US17859918
申请日:2022-07-07
Applicant: MFTB Holdco, Inc.
Inventor: Sangdi Lin , Anish Khazane , Zachary Harrison , Philip Foeckler , Saeid Balaneshinkordan , Joshua Urbanovsky , George Busby , Ondrej Linda , Siddhi Vakil , Joshua Gnanayutham
IPC: G06F16/9538 , G06F16/958 , G06Q30/06 , G06Q50/16
CPC classification number: G06F16/9538 , G06F16/958 , G06Q30/0643 , G06Q50/163
Abstract: Systems and methods for rearranging tags on a graphical user interface (GUI) based on known and unknown levels of web traffic are disclosed. To provide users with real estate listings that have popular home attributes with respect to a given region, the system uses known user interaction information to determine predicted user interaction information for real estate listing phrases (e.g., tags) that are associated with unknown user interaction information. The system then ranks the real estate listing phrases based on each real estate listing phrase's user interaction information. Based on the ranked real estate listing phrases, the system generates for display the highest ranked real estate listing phrase in association with a real estate listing being associated with the real estate listing phrase.
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