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A Method and System for Recommending Applications based on Current User Context

IP.com Disclosure Number: IPCOM000236047D
Publication Date: 2014-Apr-03
Document File: 3 page(s) / 62K

Publishing Venue

The IP.com Prior Art Database

Abstract

A method and system is disclosed for recommending one or more applications to a user of a mobile device, based on identifying multiple context factors currently associated with the user.

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A Method and System for Recommending Applications based on Current User Context

Disclosed is a method and system for recommending one or more applications to a user of a mobile device, based on identifying multiple context factors currently associated with the user.

The method and system establishes and makes available to the user, a taxonomy of context factors. The taxonomy of context factors can be established by identifying and collecting context factors affecting multiple users. A context currently

associated with the user can be derived automatically by identifying context factors related to, but not limited to, chronology, geography, social media applications, and calendaring applications. Chronological context factors can include, but are not limited to, time of day, day of week, and day of year.

Geographical context factors associated with the user can be identified by determining a location of the mobile device. In an instance, the location of the mobile device is identified from an application currently being used on the mobile device. The location can be, but is not limited to, a basketball arena, a crowded city street, and a construction site.

Calendaring applications can be analyzed to identify information such as, but not limited to, an appointment, and a nature of the appointment. The information can subsequently be used in automatically deriving context. One or more sources, such as, but not limited to, an enterprise system, a desktop system, and a cloud based system, can be searched for obtaining calendaring applications associated with the user.

The user can also manually define and add context factors into the taxonomy. Context factors defined by the user can be related to, but not limited to,

work/personal activities, a job role, age, gender, an interest, a hobby, and a transient activity. For example, the user can define a context factor associated with a transient activity such as a business meeting in New York.

In an embodiment, the method and system for recommending the one or more applications is provided as a service to the user. When the user joins the service, the user can select context factors to be associated with the user. The service presents to the user, the taxonomy of context factors. The user can then select general context factors relevant to the user, such as context factors based on the gender, the age, the job role, and interests. The user can also select context factors defined by other users subscribed to the service. For example, the user can select a context factor "looking for a restaurant" defined by another user subscribed to the service. The user can also define and add one or more context factors to the taxonomy. For example, the user can add the context factor "One day as a tourist in New York city."

The method and system also gathers information of applications commonly used across users when the users are associated with a context factor. Information can be gathered by tracking...