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Method and apparatus for constructing invisible customer group in multiple stops travel

IP.com Disclosure Number: IPCOM000240194D
Publication Date: 2015-Jan-12
Document File: 3 page(s) / 40K

Publishing Venue

The IP.com Prior Art Database

Abstract

We propose a method and apparatus for constructing invisible customer group in multiple stops travel. It includes decision make and recommendation generation via integrating distributed client information. At last we can group loose customer to common trips.

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Method and apparatus for constructing invisible customer group in multiple stops travel

We propose a method and apparatus for constructing invisible customer group in multiple stops travel.

Firstly in the interface,users can input interest location sequence and approximate date. Then the system
can load history information.

Step 1:Secondly those data put into sequence segmentation and extractor,in which we use ranking extractor to design route, then we align with the sequence, then we compare timely to locate time segment, then
we use common extractor to find common part.

Step 2: Thirdly we use group maker to group loose customer. In this part, we input the bigger Common parts,then we load map,then we construct vector: [ Hotel, Commerce, Restaurant, Attractions, Transportation, Price, Ticket]
then we get initial group by social data and centroids, µ then for each customer,we compute its class:
For each group, we compute its centroids, µ
Repeat above two steps until convergence.

Update all online and offline resource.

Fourthly, we all earlier data will show in interface
Then we iteration step 1 and step 2
At last we output every segment price and number of people

This is the system chart:

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