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Suggesting apps to a user based upon the user's current context

IP.com Disclosure Number: IPCOM000239670D
Publication Date: 2014-Nov-24
Document File: 4 page(s) / 37K

Publishing Venue

The IP.com Prior Art Database

Abstract

Today, there is no good way for a person to find out about relevant apps that he could use in his current situation and context, including location, time, and activity, unless he knows what to search for. This invention will automatically suggest to the user applications that are relevant to his current situation/activity, thereby vastly increasing the likelihood of the user using these applications, and giving him tools that will help him.

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Suggesting apps to a user based upon the user '

Today, there is no good way for a person to find out about relevant apps that he could use in his current situation and context, unless he knows what to search for. This invention will automatically suggest to the user applications that are relevant to his current situation /activity, thereby vastly increasing the likelihood of the user using these applications , and giving him tools that will help him.

This invention describes how applications that are relevant to a person for a specific context can be automatically suggested to him or her. This can be best illustrated by several examples:

John is in a store, and looking at washing machines. He gets a notification on his mobile device asking him if he is interested in any one of several applications that may be relevant to his current context (activity). These include an appliance price comparison shopper app, that compares the prices at different stores for different appliances, a smart consumer app, that contains the latest information about washing machine features and gives the test results of different washing machines, and a social shopper app, where consumers compares their experiences on a wide range of consumer products. Jack decides that all of these would be useful to him in deciding which washing machine to buy, so he clicks and downloads all of them.

Mary has just purchased a new model T car, and is driving it home. As she pulls into her house and turns off the engine, she gets a notification on her mobile device asking if she wants to download the model T tracker app. This application allows her to track all types of information and statistics about her new car, her driving habits, and information about any repairs that she should make to her car. She downloads the app, enters her car ID number and passcode, and she immediately sees that the pollution index for her first drive was as expected, and also gets a tip telling her that she breaks for red lights much later than most drivers, and at this rate she will have to change her break pads in one year, instead of the expected 3 years for most drivers.

The Ruckus family has just arrived for their vacation at Funplace airport. As they get off the plane, both parents receive notifications on their mobile devices of apps that they may be interested. They both receive suggestions for the "Wholesome and fun family adventure center" app, that turns the center into an interactive experience for the whole family. But Mr. Ruckus also receives a suggestion for the Funplace Golf Guide app , that provides information about the different golf courses in Funplace, where to rent golf clubs, etc., while Mrs Ruckus gets a suggestion for the "Funplace discount" app, that provides coupons for different attractions at Funplace.

In each of these cases, the end-user did not have to search for these applications, and did not even have to know that these applications existed. The system autom...