Method and apparatus for presenting pivacy-respectful and personalized location-based comments based on passenger context and vehicle proximity to the location
Abstract
An approach is provided for presenting privacy-respectful and personalized location-based comments based on passenger context and vehicle proximity to the location. The approach involves identifying a user, a location, and/or a context of a vehicle. The approach also involves determining a privacy level set by the user and/or associated with the context. The approach further involves generating a personalized comment related to the location based on the privacy level, wherein the personalized comment includes privacy-sensitive data associated with the user. The approach further involves triggering a presentation of the personalized comment in a user interface of the vehicle and/or a device based on a proximity of the vehicle to the location
Claims
exact text as granted — not AI-modifiedWhat is claimed is:
1 . A method comprising:
determining location information associated with a user within proximity of a location, wherein the user is within a vehicle; determining a privacy level setting for the user; retrieving one or more personal data sets for the user; filtering the one or more personal data sets based on the privacy level setting; generating a personalized comment using the filtered one or more personal data sets according to the location information; and initiating presentation of the personalized comment, via a user interface, to the user.
2 . The method of claim 1 , further comprising:
retrieving information, associated with the user, relating to family history information, images, purchase history, consumption of content, contact information, medical information, or a combination thereof; and updating the one or more personal data sets based on the retrieved information.
3 . The method of claim 1 , wherein the one or more personal data sets include an image associated with the user, the method further comprising:
initiating presentation, via the user interface, of a prompt specifying an action associated with the personalized comment, wherein the action includes a save function to store the personalized comment, an edit function to edit the one or more personal data sets, a comment function to provide a reply to the personalized comment, a correction function to modify the image associated with the user, or a combination thereof.
4 . The method of claim 1 , wherein the personalized comment is among a plurality of personalized comments associated with the location, the method further comprising:
ranking the plurality of personalized comments; and determining that the personalized comment has a proper rank for the presentation to the user based on the ranking.
5 . The method of claim 1 , wherein the personalized comment is among a plurality of personalized comments associated with the location, the method further comprising:
determining a relevance factor for the personalized comment, wherein the generation of the personalized comment is triggered based on the relevance factor.
6 . The method of claim 5 , further comprising:
receiving activity data, via a sensor or a mobile device, relating to an activity performed by the user within the vehicle, wherein the relevance factor is based on the activity data.
7 . The method of claim 1 , further comprising:
determining contextual data associated with the vehicle and the user, wherein the contextual data specifies presence of another user within the vehicle, and wherein the privacy level setting is determined according to the contextual data.
8 . An apparatus comprising:
at least one processor; and at least one memory including computer program code for one or more programs, the at least one memory and the computer program code configured to, with the at least one processor, cause the apparatus to perform at least the following:
determine location information associated with a user within proximity of a location, wherein the user is within a vehicle;
determine a privacy level setting for the user;
retrieve one or more personal data sets for the user;
filter the one or more personal data sets based on the privacy level setting;
generate a personalized comment using the filtered one or more personal data sets according to the location information; and
initiate presentation of the personalized comment, via a user interface, to the user.
9 . The apparatus of claim 8 , wherein the apparatus is further caused to:
retrieve information, associated with the user, relating to family history information, images, purchase history, consumption of content, contact information, medical information, or a combination thereof; and update the one or more personal data sets based on the retrieved information.
10 . The apparatus of claim 8 , wherein the one or more personal data sets include an image associated with the user, the apparatus being further caused to:
initiate presentation, via the user interface, of a prompt specifying an action associated with the personalized comment, wherein the action includes a save function to store the personalized comment, an edit function to edit the one or more personal data sets, a comment function to provide a reply to the personalized comment, a correction function to modify the image associated with the user, or a combination thereof.
11 . The apparatus of claim 8 , wherein the personalized comment is among a plurality of personalized comments associated with the location, the apparatus being further caused to:
rank the plurality of personalized comments; and determine that the personalized comment has a proper rank for the presentation to the user based on the ranking.
12 . The apparatus of claim 8 , wherein the personalized comment is among a plurality of personalized comments associated with the location, the apparatus being further caused to:
determine a relevance factor for the personalized comment, wherein the generation of the personalized comment is triggered based on the relevance factor.
13 . The apparatus of claim 12 , wherein the apparatus is further caused to:
receive activity data, via a sensor or a mobile device, relating to an activity performed by the user within the vehicle, wherein the relevance factor is based on the activity data.
14 . The apparatus of claim 8 , wherein the apparatus is further caused to:
determine contextual data associated with the vehicle and the user, wherein the contextual data specifies presence of another user within the vehicle, and wherein the privacy level setting is determined according to the contextual data.
15 . A system comprising:
one or more servers configured to:
determine location information associated with a user within proximity of a location, wherein the user is within a vehicle;
determine a privacy level setting for the user;
retrieve one or more personal data sets for the user;
filter the one or more personal data sets based on the privacy level setting;
generate a personalized comment using the filtered one or more personal data sets according to the location information; and
initiate presentation of the personalized comment, via a user interface, to the user.
16 . The system of claim 15 , wherein the one or more servers are further configured to:
retrieve information, associated with the user, relating to family history information, images, purchase history, consumption of content, contact information, medical information, or a combination thereof; and update the one or more personal data sets based on the retrieved information.
17 . The system of claim 15 , wherein the one or more personal data sets include an image associated with the user, the one or more servers being further configured to:
initiate presentation, via the user interface, of a prompt specifying an action associated with the personalized comment, wherein the action includes a save function to store the personalized comment, an edit function to edit the one or more personal data sets, a comment function to provide a reply to the personalized comment, a correction function to modify the image associated with the user, or a combination thereof.
18 . The system of claim 15 , wherein the personalized comment is among a plurality of personalized comments associated with the location, the one or more servers being further configured to:
rank the plurality of personalized comments; and determine that the personalized comment has a proper rank for the presentation to the user based on the ranking.
19 . The system of claim 15 , wherein the personalized comment is among a plurality of personalized comments associated with the location, the one or more servers being further configured to:
determine a relevance factor for the personalized comment based on the activity data, wherein the generation of the personalized comment is triggered based on the relevance factor.
20 . The system of claim 19 , wherein the one or more servers are further configured to:
receive activity data, via a sensor or a mobile device, relating to an activity performed by the user within the vehicle, wherein the relevance factor is based on the activity data.Join the waitlist — get patent alerts
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