公开(公告)号：US20230368084A1

公开(公告)日：2023-11-16

申请号：US18136674

申请日：2023-04-19

申请人： Airbnb, Inc.

发明人： Xiaoxin Yin ,  Dillon Davis ,  Mihajlo Grbovic ,  Aditya Mukherji ,  Kedar Bellare ,  FNU Dishant ,  Karen Ouyang ,  Soumyadip Banerjee ,  Min Liu ,  Pauline Nguyen ,  Elizabeth Han Lin ,  Walker John Alexander Henderson ,  Dang Quang Tran ,  Caroline Leung ,  Liwei He ,  Chen Qian ,  Ying Xiao ,  Xiaotang Wang

IPC分类号： G06Q10/02 ,  G06Q30/0645 ,  G06Q30/04

CPC分类号： G06Q10/025 ,  G06Q30/0645 ,  G06Q30/04

摘要： A search system that receives and returns results for split stays is described. The search system receives, from a searching end-user, a listing request specifying a multiple-day length of stay parameter. The search system determines that the multiple-day length of stay parameter of the listing request transgresses a minimum length of stay threshold and, in response, generates a combined listing that includes a first listing of the plurality of listings associated with a first portion of the multiple-day length of stay parameter and a second listing of the plurality of listings associated with a second portion of the multiple-day length of stay parameter. The combined listing is presented with one or more other listings of the plurality of listings that match the listing request in a ranked order.

公开(公告)号：US20240184792A1

公开(公告)日：2024-06-06

申请号：US18538637

申请日：2023-12-13

申请人： Airbnb, Inc.

发明人： Tyler Sax ,  Soumyadip Banerjee ,  Kedar Bellare ,  Karen Ouyang ,  Min Liu ,  Thomas Jean Marc Legrand

IPC分类号： G06F16/2457 ,  G06F16/248

CPC分类号： G06F16/24578 ,  G06F16/248

摘要： A flexible listings search system can receive and return results for flexible listing searches. For example, the system can perform micro-flexible searches (e.g., plus or minus a few days) or super flexible searches (e.g., a time span in one or more months), using listing arrays that can be rapidly accessed to efficiently identify and return results. The search system can further perform flexible destination searches for different categories of accommodations for display in a viewport (e.g., map bounding box). The system can further perform fuzzy searches to identify and return broader results for flexible queries.

公开(公告)号：US20220374487A1

公开(公告)日：2022-11-24

申请号：US17728394

申请日：2022-04-25

申请人： Airbnb, Inc.

发明人： Soumyadip Banerjee ,  Kedar Bellare ,  Min Liu ,  Tyler Sax ,  Moutupsi Paul ,  Rohit Girme

IPC分类号： G06F16/9537 ,  G06F16/951 ,  G06F16/9535

摘要： A flexible listings search system can receive and return results for flexible listing searches. For example, the system can perform micro-flexible searches (e.g., plus or minus a few days) or super flexible searches (e.g., a time span in one or more months), using listing arrays that can be rapidly accessed to efficiently identify and return results. The search system can perform flexible destination searches for different categories of accommodations for display in a viewport.

公开(公告)号：US20190043127A1

公开(公告)日：2019-02-07

申请号：US16043752

申请日：2018-07-24

申请人： Airbnb, Inc.

发明人： Chirag Mahapatra ,  Kedar Bellare

IPC分类号： G06Q40/02 ,  G06F17/30 ,  G06Q10/10 ,  G06N3/08

摘要： Systems and methods are provided for generating a search query based on received user data to perform an internet search using the search query. The systems and methods further extract data from internet search results from the internet search using the search query, generate internet search income records from the extracted data, generate income records from one or more databases comprising income records, and combine the internet search income records and the generated income records from the one or more databases to form combined income record results. The systems and methods further identify candidate income records from the combined income record results, extract features from each candidate income record for generating an income prediction, and generate the income prediction using a machine learning model to predict an income, based on the extracted features from the candidate income records.

公开(公告)号：US20240362211A1

公开(公告)日：2024-10-31

申请号：US18383611

申请日：2023-10-25

申请人： Airbnb, Inc.

发明人： Adam James Shutsa ,  Ang Li ,  Clarence Chin-wei Quah ,  Devansh Gupta ,  Shuoyuan Lin ,  Hongru Hou ,  Hongwei Zhang ,  Malay Haldar ,  Kedar Bellare ,  Shanni Weilert ,  Sherry Therese Chen ,  Soumyadip Banerjee ,  Surbhi Sethi ,  Vivek Bhardwaj ,  Xiaotang Wang ,  Yonghua Xu

IPC分类号： G06F16/9538 ,  G06F3/04817 ,  G06F3/04842 ,  G06F16/9535

CPC分类号： G06F16/245 ,  G06F3/04817 ,  G06F3/04842 ,  G06F16/252

摘要： A system that enables searching for representing listings for accommodation reservations on a map is described. The system receives, by a network site of a listing network platform, input comprising search criteria associated with a geographical region and identifies a plurality of listings matching the search criteria. The system identifies a first subset listings of the plurality of listings that is each associated with a respective location that is within a boundary associated with the geographical region and a second subset listings of the plurality of listings that is each associated with a respective location that is outside the boundary associated with the geographical region. The system visually distinguishes the first subset of listings from the second subset of listings on a map-based graphical user interface (GUI) that represents the plurality of listings matching the search criteria.

公开(公告)号：US11886448B2

公开(公告)日：2024-01-30

申请号：US17728361

申请日：2022-04-25

申请人： Airbnb, Inc.

发明人： Tyler Sax ,  Soumyadip Banerjee ,  Kedar Bellare ,  Karen Ouyang ,  Min Liu ,  Thomas Jean Marc Legrand

IPC分类号： G06F17/00 ,  G06F7/00 ,  G06F16/2457 ,  G06F16/248

CPC分类号： G06F16/24578 ,  G06F16/248

摘要： A flexible listings search system can receive and return results for flexible listing searches. For example, the system can perform micro-flexible searches (e.g., plus or minus a few days) or super flexible searches (e.g., a time span in one or more months), using listing arrays that can be rapidly accessed to efficiently identify and return results. The search system can further perform flexible destination searches for different categories of accommodations for display in a viewport (e.g., map bounding box). The system can further perform fuzzy searches to identify and return broader results for flexible queries.

公开(公告)号：US20220374441A1

公开(公告)日：2022-11-24

申请号：US17728361

申请日：2022-04-25

申请人： Airbnb, Inc.

发明人： Tyler Sax ,  Soumyadip Banerjee ,  Kedar Bellare ,  Karen Ouyang ,  Min Liu ,  Thomas Jean Marc Legrand

IPC分类号： G06F16/2457 ,  G06F16/248

摘要： A flexible listings search system can receive and return results for flexible listing searches. For example, the system can perform micro-flexible searches (e.g., plus or minus a few days) or super flexible searches (e.g., a time span in one or more months), using listing arrays that can be rapidly accessed to efficiently identify and return results. The search system can further perform flexible destination searches for different categories of accommodations for display in a viewport (e.g., map bounding box). The system can further perform fuzzy searches to identify and return broader results for flexible queries.

公开(公告)号：US10713716B2

公开(公告)日：2020-07-14

申请号：US16043752

申请日：2018-07-24

申请人： Airbnb, Inc.

发明人： Chirag Mahapatra ,  Kedar Bellare

IPC分类号： G06Q40/02 ,  G06N3/08 ,  G06Q10/10 ,  G06F16/9535 ,  G06N20/00 ,  G06N3/04

摘要： Systems and methods are provided for generating a search query based on received user data to perform an internet search using the search query. The systems and methods further extract data from internet search results from the internet search using the search query, generate internet search income records from the extracted data, generate income records from one or more databases comprising income records, and combine the internet search income records and the generated income records from the one or more databases to form combined income record results. The systems and methods further identify candidate income records from the combined income record results, extract features from each candidate income record for generating an income prediction, and generate the income prediction using a machine learning model to predict an income, based on the extracted features from the candidate income records.