Google Inc.

Yahoo! Inc.

Marcus Alexander Foster

David Singleton

Farhan Shamsi

Yakov Okshtein

Debra Lin Repenning

Lixin Zhang

Richard Zarek Cohen

Xiaohang Wang

Luca Zanolin

Simon Tickner

Chandrasekhar Thota

Flavio Lerda

Debashish Chatterjee

Hugo Hudson

Nicholas Fey

Douglas Alexander Gresham

Alan Newberger

Petra Cross

Ray Xiaohang Wang

Andres Morales

Henrique Dias Penha

Peter John Hodgson

Bjorn Erik Bringert

Greg Hecht

Vincent F Paquet

Anthony Jawad

Pawel Pietryka

Michel Ossesia

Craig Elliott Walker

Stu Blair

Jacob Hesch

Bryan Mawhinney

Receiving point of interest zones and alerts on user devices comprises communicating, by a user computing device to a remote computing device, a request for point of interest data corresponding to points of interest within a proximity of the user device; presenting the received point of interest data; identifying a particular point of interest; and outputting an alert regarding the particular point of interest. Receiving point of interest zones on user devices comprises communicating a request for point of interest data; receiving the point of interest data from the remote network device wherein a size of the point of interest zone is determined based on a density of points of interest in the proximity of the user, and wherein the shape of the point of interest zone is expanded in a direction of travel and contracted in the opposite direction; and presenting the received point of interest data.

Configurable point of interest alerts

A geofence management system obtains location data for points of interest. The geofence management system determines, at the option of the user, the location of a user mobile computing device relative to specific points of interest and alerts the user when the user nears the points of interest. The geofence management system, however, determines relationships among the identified points of interest, and associates or 'clusters' the points of interest together based on the determined relationships. Rather than establishing separate geofences for multiple points of interest, and then alerting the user each time the user's mobile device enters each geofence boundary, the geofence management system establishes a single geofence boundary for the associated points of interest. When the user's mobile device enters the clustered geofence boundary, the geofence management system notifies the user device to alert the user of the entrance event. The user then receives the clustered, geofence-based alert.

Clustering geofence-based alerts for mobile devices

In general, techniques are described for sharing information about a client device phone call to enhance other services. In one example, a method includes receiving, at a server device, voice call parameters that describe at least one characteristic of a voice call in which a user of a first device is participating wherein the first device is physically separate from the server device, and responsive to receiving the voice call parameters, determining, by the server device, a status of the user based on the received voice call parameters. The method further includes storing an account for the user on the server device, wherein the account includes a user profile for the user and identifies contacts of the user, and modifying, by the server device, the user profile to reflect the status of the user, and sending the modified user profile to a device associated with a contact of the user.

Call status sharing

A computing device displays a call history graphical user interface (GUI). The call history GUI includes a new list and an old list. The new list may include new missed call elements and missed call elements associated with new unopened voicemails. The old list may include other call history GUI elements, such as old missed call elements and missed call elements associated with opened voicemails.

Divided call history user interface

In one implementation, a computer-implemented method includes identifying, by a computer system, a plurality of voicemail messages that are associated with a particular user and that are from a plurality of voicemail sources; and generating, by the computer system, a plurality of graphical display elements that represent the identified plurality of voicemail messages and that include source identifiers that indicate a voicemail source from the plurality of voicemail sources for each of the plurality of voicemail messages. The method can further include providing the plurality of graphical display elements with the source identifiers for the plurality of voicemail messages in a user interface through which the plurality of voicemail messages from the plurality of voicemail sources are caused to be played based on received user input.

Aggregating voicemail messages from multiple sources

A system and method for generating a conference call within a social network is disclosed. The participants are all members of an affinity group and they communicate with each other using different social streams. When the stream becomes too complicated, a participant transforms the social stream into a conference call so that the discussion is held in real-time. The participant that requests the conference call is designated as a moderator. The moderator controls the conference, including the members of the affinity group, through a user interface. Once the conference is established a notification can be sent to invitees and other members of the affinity group. The notification can also be published on a social network.

Conference calls for social streams

A scanner detection model is created by a detection system to determine whether a laser scanner is present so the user is notified of the potential inability to accurately read a machine-readable identifier on a user device. A user operating the user device accesses an electronic record and a machine-readable identifier that comprises information identifying the electronic record is displayed on the user device. A scanner detection module detects display of the machine-readable identifier and turns on a camera resident on the user device. The camera captures and analyzes images. The scanner detection module identifies whether the scanner is a laser scanner based on an analysis of the images and the scanner detection model created by the detection system. If the scanner is a laser scanner, a message is displayed on the user device indicating that the machine-readable identifier is to be entered or inputted, instead of scanned.

Detecting laser scanner usage and adjusting application behavior

Growing community of inventors

West Malling, United Kingdom

Marcus Alexander Foster