Using online social networks to find trends of top vacation destinations

Patent metadata

Field	Value
Publication number	US-2016357858-A1
Application number	US-201514731076-A
Country	US
Kind code	A1
Filing date	Jun 4, 2015
Priority date	Jun 4, 2015
Publication date	Dec 8, 2016
Grant date	—

Abstract

A system, method, and apparatus for destination trend determination is provided. The method includes receiving a user query, accessing a database, the database including spatiotemporal content from a plurality of users, generating a first dataset by filtering the database according to the user query, generating a second dataset by filtering the database according to the user query, comparing the first dataset and the second dataset to determine one or more unique users associated with spatiotemporal content in both the first dataset and the second dataset, analyzing the spatiotemporal content of the one or more unique users to determine one or more locations of the spatiotemporal content corresponding to the second dataset, and controlling a display of the analyzed content.

First claim

1 : A method, comprising:
receiving a user query; accessing, by circuitry, a database, the database including spatiotemporal content from a plurality of users; generating, by the circuitry, a first dataset by filtering the database according to the user query; generating, by the circuitry, a second dataset by filtering the database according to the user query; comparing, by the circuitry, the first dataset and the second dataset to determine one or more unique users associated with spatiotemporal content in both the first dataset and the second dataset; analyzing, by the circuitry, the spatiotemporal content of the one or more unique users to determine one or more locations of the spatiotemporal content corresponding to the second dataset; and controlling, by the circuitry, a display of the analyzed content.

2 : The method according to claim 1 , wherein
the user query includes a first time period and a first location, generating the first dataset includes filtering the database according to the first location and a second time period prior to and temporally adjacent to the first time period, and generating the second dataset includes filtering the database according to the first time period.

3 : The method according to claim 2 , wherein
each unique user of the one or more unique users is associated with the first location with respect to the first dataset, and a second location with respect to the second dataset, and the first location and the second location are different for each unique user.

4 : The method according to claim 2 , wherein
controlling the display of the analyzed content includes controlling a display of a map of the one or more locations of the spatiotemporal content corresponding to the second dataset of the unique users.

5 : The method according to claim 2 , wherein
controlling the display of the analyzed content includes controlling a display of a tag cloud of the spatiotemporal content corresponding to the second dataset of the unique users.

6 : The method according to claim 1 , wherein
the user query includes a first time period, a first location, and a second location, generating the first dataset includes filtering the database according to the first location and a second time period prior to and temporally adjacent to the first time period, and generating the second dataset includes filtering the database according to the second location and the first time period.

7 : A non-transitory computer readable medium having instructions stored therein, which when executed by a computer, causes the computer to perform a method, the method comprising:
receiving a user query; accessing a database, the database including spatiotemporal content from a plurality of users; generating a first dataset by filtering the database according to the user query; generating a second dataset by filtering the database according to the user query; comparing the first dataset and the second dataset to determine one or more unique users associated with spatiotemporal content in both the first dataset and the second dataset; analyzing the spatiotemporal content of the one or more unique users to determine one or more locations of the spatiotemporal content corresponding to the second dataset; and controlling a display of the analyzed content.

8 : The non-transitory computer readable medium according to claim 7 , wherein
the user query includes a first time period and a first location, generating the first dataset includes filtering the database according to the first location and a second time period prior to and temporally adjacent to the first time period, and generating the second dataset includes filtering the database according to the first time period.

9 : The non-transitory computer readable medium according to claim 8 , wherein
each unique user of the one or more unique users is associated with the first location with respect to the first dataset, and a second location with respect to the second dataset, and the first location and the second location are different for each unique user.

10 : The non-transitory computer readable medium according to claim 8 , wherein
controlling the display of the analyzed content includes controlling a display of a map of the one or more locations of the spatiotemporal content corresponding to the second dataset of the unique users.

11 : The non-transitory computer readable medium according to claim 8 , wherein
controlling the display of the analyzed content includes controlling a display of a tag cloud of the spatiotemporal content corresponding to the second dataset of the unique users.

12 : The non-transitory computer readable medium according to claim 7 , wherein
the user query includes a first time period, a first location, and a second location, generating the first dataset includes filtering the database according to the first location and a second time period prior to and temporally adjacent to the first time period, and generating the second dataset includes filtering the database according to the second location and the first time period.

13 : An apparatus, comprising:
circuitry configured to
receive a user query;
access a database, the database including spatiotemporal content from a plurality of users;
generate a first dataset by filtering the database according to the user query;
generate a second dataset by filtering the database according to the user query;
compare the first dataset and the second dataset to determine one or more unique users associated with spatiotemporal content in both the first dataset and the second dataset;
analyze the spatiotemporal content of the one or more unique users to determine one or more locations of the spatiotemporal content corresponding to the second dataset; and
control a display of the analyzed content.

14 : The apparatus according to claim 13 , wherein
the user query includes a first time period and a first location, generating the first dataset includes filtering the database according to the first location and a second time period prior to and temporally adjacent to the first time period, and generating the second dataset includes filtering the database according to the first time period.

15 : The apparatus according to claim 14 , wherein
each unique user of the one or more unique users is associated with the first location with respect to the first dataset, and a second location with respect to the second dataset, and the first location and the second location are different for each unique user.

16 : The apparatus according to claim 14 , wherein
controlling the display of the analyzed content includes controlling a display of a map of the one or more locations of the spatiotemporal content corresponding to the second dataset of the unique users.

17 : The apparatus according to claim 14 , wherein
controlling the display of the analyzed content includes controlling a display of a tag cloud of the spatiotemporal content corresponding to the second dataset of the unique users.

18 : The apparatus according to claim 13 , wherein
the user query includes a first time period, a first location, and a second location, generating the first dataset includes filtering the database according to the first location and a second time period prior to and temporally adjacent to the first time period, and generating the second dataset includes filtering the database according to the second location and the first time period.

Assignees

• Univ Umm Al Qura

Inventors

• Ghani Sohaib
• Mokbel Mohamed
• Alowibdi Jalal

Classifications

• G06Q10/40 Primary

  Business processes related to social networking or social networking services · CPC title

• G06F17/30696 Primary

  Physics · mapped topic

• G06F17/30061

  Physics · mapped topic

• G06F17/30699

  Physics · mapped topic

• G06Q30/0201

  Market modelling; Market analysis; Collecting market data · CPC title