Life360, Inc.

Optimizely, Inc.

Optimizely North America Inc.

Michael Hood

Alexander Haro

Christopher Hulls

Michael Borsuk

Lauren Pappone

Ajna Cackovic

James Frazier Fox

Michael James Connolly, Jr

Greeshma Yellareddy

Tyler Brandt

Whelan Jefferson Boyd

Asa Schachar

A method includes receiving, from a computing device, a request for content from a content provider and determining one or more experiment variations of the requested content that the computing device is assigned to based, at least in part, on the request. The method further includes generating, by a processing device, code indicating the determined one or more experiment variations and inserting the code into executable code corresponding to the requested content. The executable code is transmitted to the browser.

Minimizing impact of experimental content delivery on computing devices

A method includes receiving, from a computing device, a request for content hosted by a content provider and determining one or more experiment variations for the requested content that the computing device is assigned to based, at least in part, on the request. The method further includes generating, by a processing device, a hash value of the one or more experiment variations and transmitting the hash value to the computing device and to a caching server.

Optimized simultaneous use of content experimentation and content caching

A method of conserving battery power of mobile devices within a location-based group starts with server receiving location data and proximity information from each of the mobile devices. Location data received from first mobile device includes the first mobile device's location. Proximity information received from first mobile device includes an identification of mobile devices within a predetermined radius of first mobile device's location. Server identifies based on location data and proximity information a specific location and forms a subgroup of mobile devices that are within a predetermined radius of the specific location. Server queries and receives a level of power associated with each mobile devices in the subgroup and transmits control signals to each mobile devices in the subgroup to shut down radio functions based on the level of power. Other embodiments are also described.

Apparatus and method for conservation of battery power of mobile devices within a location-based group

A method of increasing accuracy of location determination of mobile devices within a location-based subgroup starts with processor receiving location data and proximity information from each of the mobile devices. Location data received from first mobile device includes first mobile device's fixed location. Proximity information received from first mobile device includes an identification of mobile devices within a proximity sensitivity radius of first mobile device's location. Selecting at least one mobile device that has provided proximity information that identifies first mobile device as being within the proximity sensor accuracy limit of the selected at least one mobile device. Processor refining fixed location of first mobile device to generate refined location of first mobile device by identifying an intersection of proximity sensor accuracy limit of the selected at least one mobile device. Other embodiments are described.

Apparatus and method for increasing accuracy of location determination of mobile devices within a location-based group

A method of increasing accuracy of location determination of mobile devices within a location-based subgroup starts with server receiving location data and proximity information from each of the mobile devices. Location data received from first mobile device includes first mobile device's fixed location. Proximity information received from first mobile device includes an identification of mobile devices within a proximity sensitivity radius of first mobile device's location. Server forms subgroup of mobile devices based on proximity information from each of the mobile devices. Subgroup may include first mobile device and mobile devices that have provided proximity information that identifies first mobile device are being within the proximity sensitivity radiuses of the mobile devices, respectively. Server may then refine the fixed location of the first mobile device, which includes identifying an intersection of the proximity sensor sensitivity of each of the mobile devices that are in subgroup. Other embodiments are described.

A method of providing connection source recommendations using a database of historic data on connectivity starts with a processor receiving location and connection information from each mobile device. Location information may identify a location of each mobile device, respectively. Connection information may identify one of the connection sources as a preferred connection source used to identify the location of each mobile device, respectively. The connection source may be Global Position Satellite (GPS), cell tower, or WiFi access point. Processor may then store, in database, location and connection information. Database may include a plurality of location information and a history of connection information for each location information. Other embodiments are described.

Apparatus and method of providing connection source recommendations using a database of historic data on connectivity

Method of determining fraudulent use based on behavioral abnormality starts with processor receiving first location data and first proximity information from first mobile device. First proximity information includes identification of mobile devices within proximity sensitivity radius of first mobile device. Processor determines whether first location data and first proximity information are included in historical location data and historical proximity information, respectively, associated with first mobile device. When first location data and first proximity information is not included, processor determines whether subsequent location data and subsequent proximity information received from first mobile device over predetermined period of time is included. Processor signals to monitor fraudulent use of first mobile device when subsequent location data and subsequent proximity information received from first mobile device over predetermined period of time is not included in historical location data and historical proximity information, respectively, associated with first mobile device. Other embodiments are described.

Apparatus and method of determining fraudulent use of a mobile device based on behavioral abnormality

Method of determining user's life change based on behavioral abnormality starts with processor receiving first location data and first proximity information from first mobile device. First proximity information includes identification of mobile devices within proximity sensitivity radius of first mobile device. Processor determines whether first location data and first proximity information are included in historical location data and historical proximity information, respectively, associated with first mobile device. When first location data and first proximity information is not included, processor determines whether subsequent location data and subsequent proximity information received from first mobile device over predetermined time period is included. Processor signals to monitor life change of user of first mobile device when subsequent location data and subsequent proximity information received from first mobile device over predetermined time period is not included in historical location data and historical proximity information, respectively, associated with first mobile device. Other embodiments are described.

Apparatus and method of determining a life change of a user of a mobile device based on behavioral abnormality

Apparatus and method for determining and providing relative values of contacts associated with mobile devices within a location-based group

Method of generating, displaying, and implementing geo-fence using location determination of mobile devices (MHSDs) within location-based group starts with server receiving geo-fence information and generating geo-fence based on geo-fence information. Server receives location data and proximity information from MHSDs. Location data received from first MHSD includes first MHSD's location. Proximity information received from first MHSD includes identification of MHSDs within proximity sensitivity radius of first MHSD's location. Server forms subgroup of MHSDs based on proximity information from each MHSD. Subgroup include first MHSD and MHSDs that have provided proximity information that identifies first MHSD are being within proximity sensitivity radiuses of the MHSDs, respectively. Server refines the fixed location of the first MHSD, which includes identifying an intersection of the proximity sensor sensitivity of MHSDs that are in subgroup. Server generates and transmits alert to display device when refined location of first MHSD crosses the geo-fence. Other embodiments are described.

Apparatus and method for generating, displaying and implementing a geo-fence using location determination of mobile devices within a location-based group

A method of providing connection source recommendations using a database of historic data on connectivity starts with a processor receiving location and connection information from each mobile device. Location information may identify a location of each mobile device, respectively. Connection information may identify one of the connection sources as a preferred connection source used to identify the location of each mobile device, respectively. Processor may then store, in database, location and connection information. Database may include a plurality of location information and a history of connection information for each location information. When processor determines that mobile device has changed location, processor may transmit to mobile device connection information recommendation based on an analysis of database. Processor may transmit conservation command to each mobile device, respectively, to reduce operation of sensors to connection sources other than the preferred connection source for each mobile device, respectively. Other embodiments are described.

Growing community of inventors

San Francisco, CA, United States of America

Michael Hood