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Shopping Process Read Ahead Using Predictive Modeling

IP.com Disclosure Number: IPCOM000015403D
Original Publication Date: 2001-Dec-24
Included in the Prior Art Database: 2003-Jun-20
Document File: 1 page(s) / 36K

Publishing Venue

IBM

Abstract

When shopping at websites, the shopping flow can be slow because of business rules which must be applied for each page to load. As an example, a user is at their shopping cart, and they must choose a shipping method. Most of the time the user will choose the same method he always chooses, but the business processes to computing shipping are performed when the user hits the submit button. This decreases performance of dynamic pages for a registered user. This proposed invention uses predictive modeling to precache pages therefore increasing performance. In the example above, the registered user most likely would pick a standard shipping method. The predictive modeling engine checks a profile for the user and determines that the user will most likely use standard shipping and run the business rules for standard shipping and precache the next page. When the user continues to the next page, the engine checks to see if Standard shipping was used. If it was is redirects to the precached page. If not, it runs the business rules for standard shipping and creates a dynamic page. The advantage is speed or perceived speed of the system. The user does not wait for business rules to execute before the page is displayed. This increases performance.

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Shopping Process Read Ahead Using Predictive Modeling

    When shopping at websites, the shopping flow can be slow because of business rules which must be applied for each page to load. As an example, a user is at their shopping cart, and they must choose a shipping method. Most of the time the user will choose the same method he always chooses, but the business processes to computing shipping are performed when the user hits the submit button. This decreases performance of dynamic pages for a registered user. This proposed invention uses predictive modeling to precache pages therefore increasing performance. In the example above, the registered user most likely would pick a standard shipping method. The predictive modeling engine checks a profile for the user and determines that the user will most likely use standard shipping and run the business rules for standard shipping and precache the next page. When the user continues to the next page, the engine checks to see if Standard shipping was used. If it was is redirects to the precached page. If not, it runs the business rules for standard shipping and creates a dynamic page. The advantage is speed or perceived speed of the system. The user does not wait for business rules to execute before the page is displayed. This increases performance.

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