Browse Prior Art Database

Method for Event-Driven Filtering of Mobile Application Shortcuts

IP.com Disclosure Number: IPCOM000240285D
Publication Date: 2015-Jan-21
Document File: 6 page(s) / 148K

Publishing Venue

The IP.com Prior Art Database

Abstract

This disclosure would introduce you the recommendation system for the mobile application short cut. At first, it would provide you a list of application short cut based on your using history under specified conditions. This list would perfectly fit your needs at the specified moment. In the meanwhile, the tags for each recommended condition would be displayed with the list. Users could click to choose the recommended conditions based on their real action/status. And it would refresh the list of recommend applications according to the recommended conditions that’re re-defined by users.

This text was extracted from a PDF file.
This is the abbreviated version, containing approximately 43% of the total text.

Page 01 of 6

Method for Event-Driven Filtering of Mobile Application Shortcuts

Most people today install lots of mobile applications into their mobile devices / smartphone. There are functions in the current devices to allow user to define shortcut to launch applications. However, these shortcuts are fixed and cannot be automatically determined. Suppose one is jogging and wanted to open the "Heartbeat calculator" application. One will have to flip through the different app pages to find it if it is not being put as a favorite or shortcut. How about jogging at night? Should the "Flashlight" application be also considered in the app shortcut? Make sure the "Flashlight" application is NOT included in the shortcut during daytime.

Currently, there are no solution to the app shortcuts as all the shortcuts are fixed. Being able to automatically choose mobile application shortcut can help save a lot of effort of searching through the apps.

This disclosure would introduce you the recommendation system for the mobile application short cut. At first, it would provide you a list of application short cut based on your using history under specified conditions. This list would perfectly fit your needs at the specified moment. In the meanwhile, the tags for each recommended condition would be displayed with the list. Users could click to choose the recommended conditions based on their real action/status. And it would refresh the list of recommend applications according to the recommended conditions that're re-defined by users.

The different inputs to the mobile device may result in different recommended application lists. The mobile device would recommend the application based on the below conditions.


(1) Application content driven:


The input/change from the application running on mobile device is considered application content driven. It would recommend the application based on below conditions.


(1.1) Recommend the application based on current running application: It would recommend the application that you've most frequently run with your current running application. For example, when using camera, it would recommend photo customizing application as you used to do it before.


(1.2) Recommend the application based on your social contacts. If you're running the social application, it would recommend the application that you used to use when interacting with the contact. For example, if I receive a call from my client that usually requests me to check the order status, it would recommend the application such as the order management application that I used to check while taking with the contact.


(1.3) Recommend the application based on the time period. It would refer to your using history to recommend the application that you used to use at the specified time period. For example, I used to read magazine and book on my mobile device at Sunday afternoon. And therefore when it's Sunday afternoon, I would get the recommend application such as EBook application tha...