A computer-implemented method for tracking a user includes: configuring a client device for entering: a starting point for a trip, a destination, mode of transportation, and indication of starting the trip; configuring the server for identifying a preferred rout based upon: a distance of the trip, a crime rate of areas between the starting point and destination, and the mode of transportation; configuring the server for calculating an allotted time for the trip; configuring the client device for continuously transmitting its location to the server; configuring the server for continuously monitoring the location of the client device; configuring the client device for selectively transmitting an alarm message to the server when the client device deviates beyond a threshold amount from the preferred route or he allotted time for the trip; and configuring the server for notifying a family member and local police when the panic alarm message is received.

The subject matter discloses a method and computerized product for processing information received at a computerized device and formatting the received information to a time-based and searchable feed. The information comprises communication sessions, either via text, video and audio, as well as media items and information collected via third party resources such as social networks and web pages. The method comprises processing the information from all the sources into a single time-based feed. The user can search the feed according to search queries, such as contact persons and other subjects and the search result, displayed as a time-based feed, includes reviewing the content in the media items and from the third party resources. One user can watch items from feeds of other users.

The inventive concept relates to a spam blocking method, and the spam blocking method includes training a spam determination module using call pattern data of an originator and a recipient secured based on call logs and re-training the spam determination module according to a maneuver of a user for an incoming call received in a recipient terminal, thus enabling spam determination customized for each user.

Systems and related methods arranged to improve public safety agency access to phone-based information and communications with citizens. A first system enables a user to gather, store, access and share phone information associated with public safety agency activities including by retaining phone information and in the hand user information. A second system enables a public safety agency to exchange of information with one or more citizens, and a related system controls text-based exchanges with citizens to limit their access to agency representatives.

A system described herein may use automated techniques, such as machine learning techniques, to analyze device snapshots from a group of User Equipment (UEs), and determine trouble conditions that are experienced by the UEs. The system may identify markers of the trouble conditions based on the snapshots, and may use these markers to predict or identify trouble conditions at other UEs based on snapshots received from the other UEs. Further, once a trouble condition is predicted or identified at the other UEs, the trouble condition may be proactively addressed, without requiring an explicit request from the other UEs to address the trouble condition.

A computer-implemented method for tracking a user includes: configuring a client device for entering: a starting point for a trip, a destination, mode of transportation, and indication of starting the trip; configuring the server for identifying a preferred route based upon: a distance of the trip, a crime rate of areas between the starting point and destination, and the mode of transportation; configuring the server for calculating an allotted time for the trip; configuring the client device for continuously transmitting its location to the server; configuring the server for continuously monitoring the location of the client device; configuring the client device for selectively transmitting an alarm message to the server when the client device deviates beyond a threshold amount from the preferred route or the allotted time for the trip; and configuring the server for notifying a family member and local police when the panic alarm message is received.

A system described herein may use automated techniques, such as machine learning techniques, to analyze device snapshots from a group of User Equipment (UEs), and determine trouble conditions that are experienced by the UEs. The system may identify markers of the trouble conditions based on the snapshots, and may use these markers to predict or identify trouble conditions at other UEs based on snapshots received from the other UEs. Further, once a trouble condition is predicted or identified at the other UEs, the trouble condition may be proactively addressed, without requiring an explicit request from the other UEs to address the trouble condition.

A computer-implemented method for tracking a user includes: configuring a client device for entering: a starting point for a trip, a destination, mode of transportation, and indication of starting the trip; configuring the server for identifying a preferred route based upon: a distance of the trip, a crime rate of areas between the starting point and destination, and the mode of transportation configuring the server for calculating an allotted time for the trip; configuring the client device for continuously transmitting its location to the server; configuring the server for continuously monitoring the location of the client device; configuring the client device for selectively transmitting an alarm message to the server when the client device deviates beyond a threshold amount from the preferred route or the allotted time for the trip; and configuring the server for notifying a family member and local police when the panic alarm message is received.

Apparatuses for storing, transmitting, and identifying changes in relation to, data are provided. One of these apparatuses is a server which includes a processor-implemented controller that receives data from a first electronic device external to the server, determines whether a user identification corresponding to a second electronic device external to the server matches a specified user identification, and transmits at least one portion of the data to the second electronic device based at least in part on a determination that the user identification matches the specified user identification.

A computer-implemented method for tracking a user includes: configuring a client device for entering: a starting point for a trip, a destination, mode of transportation, and indication of starting the trip; configuring the server for identifying a preferred route based upon: a distance of the trip, a crime rate of areas between the starting point and destination, and the mode of transportation; configuring the server for calculating an allotted time for the trip; configuring the client device for continuously transmitting its location to the server; configuring the server for continuously monitoring the location of the client device; configuring the client device for selectively transmitting an alarm message to the server when the client device deviates beyond a threshold amount from the preferred route or the allotted time for the trip; and configuring the server for notifying a family member and local police when the panic alarm message is received.