Method and system for smart detection of business hot spots
Aspects of the present disclosure provide techniques for classifying a trip. Embodiments include receiving, from a plurality of users, a plurality of historical trip records. Each of the plurality of historical trip records may comprise one or more historical trip attributes and historical classification information. Embodiments include training a predictive model, using the plurality of historical trip records, to classify trips based on trip records. Training the predictive model may comprise determining a plurality of hot spots based on the historical trip records, each of the plurality of hot spots comprising a region encompassing one or more locations, and associating, in the predictive model, the plurality of hot spots with historical classification information. Embodiments include receiving, from a user, a new trip record comprising a plurality of trip attributes related to a trip and using the predictive model to predict a classification for the trip based on the trip record.
1. A method for trip classification, comprising:
receiving, from a plurality of users, a plurality of historical trip records, wherein each historical trip record of the plurality of historical trip records comprises:
one or more historical trip attributes comprising a respective occupation of a respective user; and
historical classification information;
determining a plurality of hot spots based on the historical trip records, wherein each of the plurality of hot spots comprises a region that encompasses one or more locations; and
storing associations between the plurality of hot spots, corresponding occupation information, and corresponding historical classification information;
receiving a trip record comprising a location related to a trip and an occupation of a user related to the trip; and
predicting a classification for the trip based on:
the location related to the trip;
the occupation of the user related to the trip; and
the associations between the plurality of hot spots, the corresponding occupation information, and the corresponding historical classification information.
2. The method of claim 1 , wherein each historical trip record of the historical trip records comprises one or more of:
a historical origin location; or
a historical destination location.
3. The method of claim 1 , wherein one or more hot spots of the plurality of hot spots comprise dynamic regions.
4. The method of claim 1 , wherein the location related to the trip comprises:
an origin location; or
a destination location.
5. The method of claim 1 , wherein predicting the classification for the trip comprises determining that the location related to the trip falls within a hot spot of the plurality of hot spots.
6. The method of claim 1 , wherein predicting the classification for the trip is further based on additional personal user data associated with a user.
7. The method of claim 1 , further comprising providing the classification to a user.
8. The method of claim 7 , further comprising:
receiving feedback from the user about the classification; and
predicting one or more classifications of subsequent trip records based in part on the feedback.
9. The method of claim 1 , wherein predicting the classification for the trip is based on:
one or more historical trip records of a user associated with the trip record; and
one or more additional historical trip records of one or more users other than the user.
10. A method for trip classification, comprising:
receiving, from a plurality of users, a plurality of historical trip records, wherein each historical trip record of the plurality of historical trip records comprises:
one or more historical trip attributes comprising a respective occupation of a respective user; and
historical classification information;
determining a plurality of hot spots based on the historical trip records, wherein each of the plurality of hot spots comprises a region that encompasses one or more locations; and
storing associations between the plurality of hot spots, corresponding occupation information, and corresponding historical classification information;
receiving, from a user, a trip record comprising a plurality of trip attributes related to a trip and an occupation of the user; and
predicting a classification for the trip based on:
the plurality of trip attributes related to the trip;
the occupation of the user; and
the associations between the plurality of hot spots, the corresponding occupation information, and the corresponding historical classification information.
11. The method of claim 10 , wherein the plurality of trip attributes comprises:
an origin location;
an origin time stamp;
a destination location; and
a destination time stamp.
12. The method of claim 11 , wherein predicting the classification for the trip comprises determining that one or more of the origin location or the destination location falls within a hot spot of the plurality of hot spots.
13. The method of claim 10 , wherein predicting the classification for the trip is further based on additional personal user data associated with the user.
14. The method of claim 10 , further comprising providing the classification to the user.
15. A system for trip classification, the system comprising:
one or more processors; and
memory comprising instructions that, when executed by the one or more processors, cause the system to:
receive, from a plurality of users, a plurality of historical trip records, wherein each historical trip record of the plurality of historical trip records comprises:
one or more historical trip attributes comprising a respective occupation of a respective user; and
historical classification information;
determine a plurality of hot spots based on the historical trip records, wherein each of the plurality of hot spots comprises a region that encompasses one or more locations; and
store associations between the plurality of hot spots, corresponding occupation information, and corresponding historical classification information;
receive a trip record comprising a location related to a trip and an occupation of a user related to the trip; and
predict a classification for the trip based on:
the location related to the trip;
the occupation of the user related to the trip; and
the associations between the plurality of hot spots, the corresponding occupation information, and the corresponding historical classification information.
16. The system of claim 15 , wherein each historical trip record of the historical trip records comprises one or more of:
a historical origin location; or
a historical destination location.
17. The system of claim 15 , wherein one or more hot spots of the plurality of hot spots comprise dynamic regions.
18. The system of claim 15 , wherein the location related to the trip comprises:
an origin location; or
a destination location.
19. The system of claim 15 , wherein predicting the classification for the trip comprises determining that the location related to the trip falls within a hot spot of the plurality of hot spots.