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Notifications system based on previous history, set of inferences and current conditions

IP.com Disclosure Number: IPCOM000204671D
Publication Date: 2011-Mar-09
Document File: 2 page(s) / 42K

Publishing Venue

The IP.com Prior Art Database

Abstract

This invention solves the problem of how to generate potential new sales based on locality information and a mechanism for anticipating current needs based on buying history and current conditions.

This text was extracted from a PDF file.
This is the abbreviated version, containing approximately 53% of the total text.

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Notifications system based on previous history , set of inferences and current conditions

Introduction

    This invention solves the problem of how to generate potential new sales based on:
• locality information
• a mechanism for anticipating current needs based on buying history and current conditions.

Online trade services such as online auction sites provide a means for people to buy and sell second hand goods, for example items such as DVDs, toys or clothes. Users must provide location information when either buying or selling, and usually indicate whether items can be picked up personally. A set of inferences can be applied to identify a user' potential interest in items for sale based on what the user has bought in the past, the time elapsed and the current conditions.

    This invention combines these services to provide a location, history and current condition aware notification service which informs users when items on their wish list, or items they may be interested in, become available in their local area.

The benefits of such a mechanism are:
• for the retailer, potentially more sales are generated
• for the user, it is the convenience of finding out of items for sale that are local, relevant and likely to be desired

• socially, this reduces costs and pollution.

Typical Scenario

    A typical scenario may involve one person putting an item for sale, then the service detecting that another user in the first user's vicinity might be interested in buying the item based on what the second user has bought in the past and the current conditions. The service informs the second user about the item; if they are interested they can arrange a local pick up and the sale proceeds as normal. Invention Description

    The key part of the invention is the application of a set of inference rules to the buying history, taking into account current conditions to generate relevant notifications. The invention can be described using the following steps:
a) The availability of an item being for sale is captured using an online trade service, such as online auction sites. The service records the location of the item and whether the item can be picked up directly from the buyer, then advertises the item to the target audience.

b) Users buying history is examined and the pattern prediction mechanism is applied to it.

c) Users within the local area of the item are identified, and associated wish lists and recommend...