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公开(公告)号：US20220398635A1
公开(公告)日：2022-12-15
申请号：US17751376
申请日：2022-05-23
申请人： Airbnb, Inc.
发明人： Kevin Jungmeisteris , Artem Kizil , Jonathan Li On Wing , Hui Wang , Bo Zeng , Ying Zhang , Yufeng Zhang , Cen Zhao
摘要： A preliminary software feature is applied in a testing rollout to a discrete subset of customers. Survey data may be collected from those customers through a variety of sources, such as chatbot text, session workflow, historical user data, social media data, email survey data, user profile data, messaging threads, and the like. This survey data is analyzed using machine learning algorithms to derive the meaning of input text as well as to determine the user sentiment expressed therein. The outputs of this analysis are normalized across sources and aggregated at a feature-level to generate overall metrics of customer satisfaction with the feature. A holistic analysis is performed on this customer sentiment data to obtain an aggregate or combined user satisfaction score. This score is applied against a set of guardrails to determine whether to ship the feature to a broader customer base.
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公开(公告)号：US20220375058A1
公开(公告)日：2022-11-24
申请号：US17735789
申请日：2022-05-03
申请人： Airbnb, Inc.
发明人： Bilguun Ulammandakh
摘要： Systems and methods are provided for receiving a plurality of images corresponding to a listing in an online marketplace, generating a scene type for each image of the plurality of images, and grouping each image into a scene type group of a set of predefined scene types. Each group of images are input into a respective machine learning model specific to the scene type of the group of images to generate a visual score for each image in each group of images, and an attractiveness score is generated for the listing in the online marketplace based on the visual scores for each image in each group of images.
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公开(公告)号：US20220374955A1
公开(公告)日：2022-11-24
申请号：US17731509
申请日：2022-04-28
申请人： Airbnb, Inc.
发明人： Bilguun Ulammandakh
IPC分类号： G06Q30/06
摘要： Systems and methods herein describe a listing auto-generation system for generating a listing title and listing description for a listing in an online marketplace. The listing auto-generation system analyzes a set of listing data associated with the listing and generates the listing title and listing description using a machine learning model. The generated listing title and listing description are validated against a set of validation rules and presented on a user interface.
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公开(公告)号：US11494739B2
公开(公告)日：2022-11-08
申请号：US17350144
申请日：2021-06-17
申请人： Airbnb, Inc.
摘要： Message display control means updates and displays messages sequentially on a message list screen each time message receiving means receives a message. When input detection means detects a response message, identification means identifies the latest message at the time of detection and the response message. Response message sending means sends the response message as a response to the identified message to other participants upon completion of input of the response message. Therefore, even in the case where the message list screen is updated due to receiving the subsequent message during the input of the response message, the completed response message is able to be sent back to the response object message.
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公开(公告)号：US11366840B2
公开(公告)日：2022-06-21
申请号：US16827667
申请日：2020-03-23
申请人： Airbnb, Inc.
发明人： Russell W. Bergs , Yu Deng , Kaoutar El Maghraoui , Matthew R. Koozer , HariGovind V. Ramasamy , Soumitra Sarkar , Rongda Zhu
IPC分类号： G06F7/00 , G06F16/332
摘要： A base query having a plurality of base query terms is obtained. A plurality of problem log files are accessed. Words, contained in a corpus vocabulary, are extracted from the plurality of problem log files. Based on the words extracted from the plurality of problem log files, a first expanded query is generated from the base query. The corpus is queried, via a query engine and a corpus index, with a second expanded query related to the first expanded query.
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公开(公告)号：US11361421B1
公开(公告)日：2022-06-14
申请号：US17326880
申请日：2021-05-21
申请人： Airbnb, Inc.
发明人： Bilguun Ulammandakh
摘要： Systems and methods are provided for receiving a plurality of images corresponding to a listing in an online marketplace, generating a scene type for each image of the plurality of images, and grouping each image into a scene type group of a set of predefined scene types. Each group of images are input into a respective machine learning model specific to the scene type of the group of images to generate a visual score for each image in each group of images, and an attractiveness score is generated for the listing in the online marketplace based on the visual scores for each image in each group of images.
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公开(公告)号：US11308564B2
公开(公告)日：2022-04-19
申请号：US16214359
申请日：2018-12-10
申请人： Airbnb, Inc.
摘要： Systems and methods are provided for extracting a plurality of features for a listing from a datastore comprising a plurality of listings and a plurality of features for each of the plurality of listings, determining a cluster of similar listings to the listing and generating a set of cluster features for the cluster of similar listings, analyzing the set of cluster features for the cluster of similar listings based on a booking price, using a first trained machine learning model to determine a cluster-level probability of booking the listing on the given date, analyzing the plurality of features for the listing using the booking price, using a second trained machine learning model to determine a listing-level probability of booking the listing on the given date, and generating a final probability of booking by combining the cluster-level probability of booking and the listing-level probability of booking.
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