LOCAL CONTENT FILTERING

• US 20150242496A1
• Filed: 02/21/2014
• Published: 08/27/2015
• Est. Priority Date: 02/21/2014
• Status: Abandoned Application

• Current Assignee: Microsoft Technology Licensing LLC (Microsoft Corporation)
• Original Assignee: Microsoft Corporation
• Inventors: Schlesinger, Benny, Yahalom, Saar, Castelnuovo, Ghila, Aguera y Arcas, Blaise
• Application Number:
  US14/186,806
• Publication Number:
  US 20150242496A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 16/335 Filtering based on additional data, e.g. user or group profiles filtering in web context G06F16/9535, G06F16/9536
• CPC Class Codes: G06Q 10/10 Office automation; Time management
• CPC Class Codes: G06Q 30/00 Commerce
• CPC Class Codes: G06Q 50/265 Personal security, identity or safety
• CPC Class Codes: H04L 12/1813 for computer conferences, e.g. chat rooms instant messaging H04L51/04; protocols for multimedia communication H04L65/1101; arrangements for multi-party communication H04L65/403; telephonic conference arrangements H04M3/56; television conference systems H04N7/15

Abstract

One or more techniques and/or systems are provided for locally filtering content on a device, which preserves privacy of a user (e.g., user specific data is not sent from the device to obtain content tailored to the user). A set of content candidates may be retrieved from a remote source (e.g., a restaurant app may retrieve menu items from a restaurant server). A user personalization profile may be used to locally filter the set of content candidates to generate a filtered set of content. For example, the user personalization profile may indicate that the user maintains a low-carb diet and that the user prefers expensive Asian restaurants (e.g., based upon a low-carb diet document saved on the user'"'"'s device and/or device locational information indicating the user frequents expensive Asian restaurants). In this way, the restaurant app may display the filtered set of content (e.g., expensive Asian restaurants serving low-carb food).

Claims

1. A method for local filtering of content, comprising:

identifying a set of content candidates retrieved by a device, associated with a user, from a remote source;

identifying a user personalization profile associated with the user; and

locally filtering, on the device, the set of content candidates based upon the user personalization profile to generate a filtered set of content.

2. The method of claim 1, comprising:

generating the user personalization profile based upon a user context.

3. The method of claim 2, the user context corresponding to at least one of a device location, a gender, a current event attended by the user, a meeting attended by the user, a current mode of transportation, a current activity of the user, or a current context with which the user is engaged with the device.

4. The method of claim 1, comprising:

generating the user personalization profile based upon user data.

5. The method of claim 4, the user data corresponding to at least one of an email, a document, a folder name, a receipt, an installed app, a purchased app, a social network profile, a subscription to a service, an association with a business, a coupon, a search history, a calendar, a social network post, or an image.

6. The method of claim 1, comprising:

presenting the filtered set of content through the device.

7. The method of claim 6, the presenting comprising:

displaying a recommendation.

8. The method of claim 7, comprising at least one of:

responsive to receiving a store input associated with the recommendation, storing the recommendation to the device for later retrieval;

responsive to receiving a share input associated with the recommendation, sharing the recommendation with a second user;

responsive to receiving a purchase input associated with the recommendation, facilitating a purchase action for at least one of a good or a service recommended by the recommendation;

or

responsive to receiving a reservation input associated with the recommendation, facilitating a reservation associated with at least one of the good or the service recommended by the recommendation.

9. The method of claim 1, the filtered set of content comprising at least one of a recommendation, a search result, a good for sale, a service for sale, a menu item, a movie, a music concert, or an app.

10. The method of claim 1, the locally filtering comprising:

performing offline filtering when the device is not connected to at least one of the remote source or a network.

11. The method of claim 1, the locally filtering comprising:

performing filtering when the device is connected to at least one of the remote source or a network.

12. The method of claim 1, comprising:

responsive to identifying a new filtering module available for filtering content;

retrieving a new filtering install module for the new filtering module; and

deploying the new filtering module to the device utilizing the new filtering install module.

13. The method of claim 12, comprising:

identifying a second set of content candidates from a second remote source; and

locally filtering, on the device, the second set of content candidates based upon the user personalization profile and the new filtering module to generate a second filtered set of content.

14. The method of claim 1, the locally filtering comprising:

filtering the set of content candidates on demand in response to a launch of an app that consumes the set of content candidates.

15. The method of claim 1, comprising:

storing the filtered set of content on the device; and

responsive to a launch of an app that consumes the filtered set of content, providing the filtered set of content to the app.

16. A system for local filtering of content, comprising:

a filtering component configured to;

identify a set of content candidates retrieved by a device, associated with a user, from a remote source;

identify a user personalization profile associated with the user; and

locally filter, on the device, the set of content candidates based upon the user personalization profile to generate a filtered set of content.

17. The system of claim 16, the filtering component configured to:

perform filtering regardless of whether the device is connected to a network.

18. The system of claim 16, the filtered set of content comprising at least one of a recommendation, a search result, a good for sale, a service for sale, a menu item, a movie, a music concert, or an app.

19. A computer readable medium comprising instructions which when executed perform a method for local filtering of content, comprising:

identifying a set of content candidates retrieved by a device, associated with a user, from a remote source;

identifying a user personalization profile associated with the user; and

locally filtering, on the device, the set of content candidates based upon the user personalization profile to generate a filtered set of content.

20. The computer readable medium of claim 19, comprising:

performing offline filtering when the device is not connected to at least one of the remote source or a network.