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A dynamic home screen based on one's lifestyle choices, context of use

IP.com Disclosure Number: IPCOM000130197D
Publication Date: 2005-Oct-25
Document File: 6 page(s) / 355K

Publishing Venue

The IP.com Prior Art Database

Abstract

Homescreens applications, typically on mobile devices, are designed with functions and features in mind. New trends indicate that lifestyle choices are becoming more important. People want new technology to fit in with who they are, what they do, and how they live their life. One solution to a more diverse Homescreen application is to provide a variety of choices and components that can be dynamically updated according to the context in which a person wants to use their device. This will enable the mobile device to be more usable and customizeable. A method to implement this is to have a Homescreen that is based on collaborative filtering, that is, an engine that recommends products / services based on interests indicated by members within a group. The method of delivery may be a personalized homepage, personalized e-mail, or a personalized push channel. One implementation of this solution may static, where the retrieved data is based on a pre-defined set of rules where the user selects the homepage based on choices provided or selected. An alternate implementation is a dynamic means using such techniques as collaborative filtering, and / or observation and reaction to certain behaviors. A set of rules can retrieve data from the following sources: • Demographics: information captured from registration (i.e., addresses the question “Who are you?) • Question and answer: typical Q&A responses (i.e., “What do you like to do?”, “What types of content and services you want to see or use?”) • History: info gathered from analyzing a person’s usage history, this may require analysis to obtain the result (i.e., addresses such questions as “What do you do with the device?, “At what time of the day?”) • Online behavior: captures usage behaviour (i.e., address such questions as “What do you browse”, “When?”, “What time of the day?”, “And in what context?”) There are three aspects to personalization: • Layout: what exists on a page • Filtering: what content the user is interested in • Smart Areas: views based on the behavior and tasks that the user wants to do. Network carrier may track the “clicks” that the user has taken There are different items to layout, including the following. • Options: for example, straight text, dynamic text, applets, pictures • Templates: categorized according to users, options that they are provided is dependant on who they are (i.e., lawyer, broker, doctor, student), time of day (morning, evening), and context of use (work vs. play) • Personal selections: what you can have based on who you are (regarding the “look and feel”)

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LIFESTYLE HOME SCREEN

A dynamic home screen based on one's lifestyle choices, context of use

Disclosed Anonymously

Homescreens applications, typically on mobile devices, are designed with functions and features in mind. New trends indicate that lifestyle choices are becoming more important. People want new technology to fit in with who they are, what they do, and how they live their life.

One solution to a more diverse Homescreen application is to provide a variety of choices and components that can be dynamically updated according to the context in which a person wants to use their device. This will enable the mobile device to be more usable and customizeable.

A method to implement this is to have a Homescreen that is based on collaborative filtering, that is, an engine that recommends products / services based on interests indicated by members within a group.

The method of delivery may be a personalized homepage, personalized e-mail, or a personalized push channel.

One implementation of this solution may static, where the retrieved data is based on a pre-defined set of rules where the user selects the homepage based on choices provided or selected.

An alternate implementation is a dynamic means using such techniques as collaborative filtering, and / or observation and reaction to certain behaviors.

A set of rules can retrieve data from the following sources:

 

  • Demographics: information captured from registration (i.e., addresses the question “Who are you?)
  • Question and answer: typical Q&A responses (i.e., “What do you like to do?”, “What types of content and services you want to see or use?”)
  • History: info gathered from analyzing a person’s usage history, this may requ...