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公开(公告)号：USD842328S1
公开(公告)日：2019-03-05
申请号：US29620396
申请日：2017-12-21
Applicant: Airbnb, Inc.
Designer： JingZhi Jian , Salih Abdul-Karim , Fabio Resende , Lu Cheng , Taido Nakajima
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公开(公告)号：US12235853B1
公开(公告)日：2025-02-25
申请号：US16452444
申请日：2019-06-25
Applicant: Airbnb, Inc.
Inventor： Chun How Tan , Mihajlo Grbovic , Lu Cheng
IPC: G06F16/2457 , G06F16/29 , G06N20/20 , G06Q30/0282
Abstract: A system receives a query from a user specifying a geographic location at which the user wishes to obtain data relating to travel experiences. The system obtains a first score associated with a first travel experience and a second score associated with a second travel experience, the first score being different than the second. A score is based on at least one quality indicator of the experience. The system defines a plurality of differently-located virtual boundaries around the travel location, each successive boundary indicating an area located at a greater distance from the travel location. The system then displays to the user a list of experiences, wherein the experiences are rank-ordered before presentation to the user. The rank ordering of experiences is dependent on both the virtual boundary into which the experience falls and the score associated with the experience.
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公开(公告)号：US10430730B2
公开(公告)日：2019-10-01
申请号：US14800369
申请日：2015-07-15
Applicant: Airbnb, Inc.
Inventor： Lu Cheng , Surabhi Gupta , Frank Lin
Abstract: Listings and reviews of listings can be processed to identify descriptive attributes for locations associated with the listings. To do this, a corpus of words is generated for various locations based on listings in the locations and reviews of those listings. An expected frequency, and per-location frequency for each word is determined. These numbers are in turn used to determine a number of high frequency listing locations, and a number of below expected frequency listing locations for each word. Based on a comparison of the number of high frequency listing locations and the number of below expected frequency listing locations of a word with an attribute reference number, the word can be identified either as an attribute that is likely descriptive of the location, or not.
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公开(公告)号：US20160019474A1
公开(公告)日：2016-01-21
申请号：US14800369
申请日：2015-07-15
Applicant: Airbnb, Inc.
Inventor： Lu Cheng , Surabhi Gupta , Frank Lin
CPC classification number: G06Q10/02 , G06F16/313 , G06Q50/14
Abstract: Listings and reviews of listings can be processed to identify descriptive attributes for locations associated with the listings. To do this, a corpus of words is generated for various locations based on listings in the locations and reviews of those listings. An expected frequency, and per-location frequency for each word is determined. These numbers are in turn used to determine a number of high frequency listing locations, and a number of below expected frequency listing locations for each word. Based on a comparison of the number of high frequency listing locations and the number of below expected frequency listing locations of a word with an attribute reference number, the word can be identified either as an attribute that is likely descriptive of the location, or not.
Abstract translation: 可以处理列表的列表和评论，以识别与列表相关联的位置的描述性属性。 为此，根据位置列表和这些列表的评论，会为各个位置生成一个单词语料库。 确定每个单词的预期频率和每个位置频率。 这些数字又用于确定多个高频列表位置，以及用于每个字的若干低于预期的频率列表位置。 基于高频列表位置的数量和具有属性参考号的单词的低于预期频率列表位置的数量的比较，该单词可以被识别为可能描述位置的属性。
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公开(公告)号：US20200005200A1
公开(公告)日：2020-01-02
申请号：US16552973
申请日：2019-08-27
Applicant: Airbnb, Inc.
Inventor： Lu Cheng , Surabhi Gupta , Frank Lin
Abstract: Listings and reviews of listings can be processed to identify descriptive attributes for locations associated with the listings. To do this, a corpus of words is generated for various locations based on listings in the locations and reviews of those listings. An expected frequency, and per-location frequency for each word is determined. These numbers are in turn used to determine a number of high frequency listing locations, and a number of below expected frequency listing locations for each word. Based on a comparison of the number of high frequency listing locations and the number of below expected frequency listing locations of a word with an attribute reference number, the word can be identified either as an attribute that is likely descriptive of the location, or not.
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公开(公告)号：USD820307S1
公开(公告)日：2018-06-12
申请号：US29584632
申请日：2016-11-16
Applicant: Airbnb, Inc.
Designer： JingZhi Jian , Salih Abdul-Karim , Fabio Resende , Lu Cheng , Taido Nakajima
