Computing devices configured for location-aware caller identification and methods/systems of use thereof

A system comprising:

• one or more processors;
• and
• a memory in communication with the one or more processors and storing instructions that, when executed by the one or more processors, cause the one or more processors to:
• obtain a trained call annotation machine learning model that determines one or both of an annotating condition and annotating location granularity, and associates at least one location of a user with at least one phone number of the user based at least on one or both of the annotating condition and the annotating location granularity;
• receive second transactional information of at least one transaction associated with a first user;
• extract second location information from the second transactional information of the at least one transaction;
• utilize the trained call annotation machine learning model to:
• determine at least one annotating condition based on at least one of:
• the second transaction information, profile information, or contextual information of the first user, wherein the annotating condition being indicative of a permission to annotate;
• determine an annotating location granularity for the second location information based on the at least one annotating condition;
• and
• automatically annotate at least one phone number record of at least one phone number, associated with the first user, with the second location information at the annotating location granularity to form at least one user-specific location-specific annotated phone number record;
• transmitting the at least one user-specific location-specific annotated phone number record to a computing device of a second user;
• and
• instruct the computing device of the second user to display the at least one user-specific location-specific annotated phone number record to the second user upon detecting an incoming call associated with the at least one phone number of the first user to the second user.

A non-transitory computer readable storage medium for tangibly storing computer program instructions capable of being executed by a computer processor, the computer program instructions defining the steps of:

• obtaining a trained call annotation machine learning model that determines one or both of an annotating condition and annotating location granularity, and associates at least one location of a user with at least one phone number of the user based at least on one or both of the annotating condition and the annotating location granularity;
• receiving second transactional information of at least one transaction associated with a first user;
• extracting second location information from the second transactional information of the at least one transaction;
• utilizing the trained call annotation machine learning model to:
• determine at least one annotating condition based on at least one of:
• the second transaction information, profile information, or contextual information of the first user, wherein the annotating condition being indicative of a permission to annotate;
• determine an annotating location granularity for the second location information based on the at least one annotating condition;
• and
• automatically annotate at least one phone number record of at least one phone number, associated with the first user, with the second location information at the annotating location granularity to form at least one user-specific location-specific annotated phone number record;
• and
• transmitting the at least one user-specific location-specific annotated phone number record to a computing device of a second user.