US 2020/0005200 A1Published application

Determining Descriptive Attributes for Listing Locations

AssigneeAirbnb, Inc.

InventorsLu Cheng, Surabhi Gupta, Frank Lin

Life of this patent

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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.

Claims20

Dependent claims

A method comprising:

generating a corpus of words present in listings and reviews of the listings, the listings describing goods or services, each listing associated with a location of a plurality of locations;
for each of the words in the corpus:
computing an expected frequency for a word to appear in the corpus,
determining, for each of the locations, a per-location frequency for the word,
determining a number of high frequency listing locations comprising locations where the per-location frequency of the word is a first multiple greater than the expected frequency,
determining a number of low frequency listing locations comprising locations where the per-location frequency of the word is a second multiple smaller than the expected frequency, and
determining a descriptiveness metric for the word based on the number of high frequency listings locations and the number of low frequency listing locations;
identifying, as attributes, one or more words in the set of words having a descriptiveness metric within a threshold range of an attribute reference number;
generating for display a graphical user interface (GUI) comprising a search query bar and icons for each of a default subset of locations of the plurality of locations;
receiving, via the search query bar of the GUI, a user search query specifying an attribute of interest;
determining an updated subset of the plurality of locations, the updated subset comprising locations of the plurality of locations that have the attribute of interest as an identified attribute;
and
updating the GUI to replace the icons for each of the default subset of locations with icons for each of the updated subset of the plurality of locations, the icons including a display of, for each respective location of the updated subset, the respective one or more words having the descriptiveness metric within the threshold range of the attribute reference number.

10 more elements

A non-transitory computer readable storage medium comprising instructions that when executed by at least one processor cause the processor to:

generate a corpus of words present in listings and reviews of the listings, the listings describing goods or services, each listing associated with a location of a plurality of locations;
for each of the words in the corpus:
compute an expected frequency for a word to appear in the corpus,
determine, for each of the locations, a per-location frequency for the word,
determine a number of high frequency listing locations comprising locations where the per-location frequency of the word is a first multiple greater than the expected frequency,
determine a number of low frequency listing locations comprising locations where the per-location frequency of the word is a second multiple smaller than the expected frequency, and
determine a descriptiveness metric for the word based on the number of high frequency listings locations and the number of low frequency listing locations;
identify, as attributes, one or more words in the set of words having a descriptiveness metric within a threshold range of an attribute reference number;
generate for display a graphical user interface (GUI) comprising a search query bar and icons for each of a default subset of locations of the plurality of locations;
receive, via the search query bar of the GUI, a user search query specifying an attribute of interest;
determine an updated subset of the plurality of locations, the updated subset comprising locations of the plurality of locations that have the attribute of interest as an identified attribute;
and
update the GUI to replace the icons for each of the default subset of locations with icons for each of the updated subset of the plurality of locations, the icons including a display of, for each respective location of the updated subset, the respective one or more words having the descriptiveness metric within the threshold range of the attribute reference number

10 more elements

Dependencies are inferred from the claim text.

Facts

Application: 16/552,973Filed 27 Aug 2019
Priority: 16 Jul 2014
Published: 2 Jan 2020
Term ends: Not estimatedThe source records don’t support an estimate.

Classification5 codes

G06Q 10/02
Administration; Management: reservations, e.g. for tickets, services or events
G06F 16/313
Indexing; Data structures therefor; Storage structures: selection or weighting of terms for indexing
G06Q 50/14
Services: travel agencies
G06Q
Information and communication technology [ict] specially adapted for administrative, commercial, financial, managerial

Family

Application62/025,397Us provisional application · filed 16 Jul 2014
Application14/800,369Continuation · filed 15 Jul 2015
Application16/552,973Continuation
US 10,430,730 B2Related patent
US 2016/0019474 A1Published application
US 2020/0005200 A1This patent

From the US filing history. Foreign family members aren’t listed.