User electronic message system
AssigneeAirbnb, Inc.
InventorsZhentao Sun, Dawei Wang, Sean Odonnell, Noah Martin, Andriy Sergiyenko, Greg Thompson, Shike Mei
Life of this patent
Estimating the term…
Abstract
Network site users can be selected to receive a communication based on a network site event, such as incomplete registration. A hybrid user interaction machine learning scheme can select a portion of the selected users based on user interaction estimates and network sampling data. The electronic document sent to the users can have portions that undergo two-pass ranking for ordering of content items to be included in the electronic document, such as an email.
Claims20
A method comprising:
- identifying, using one or more processors of a machine, a plurality of users of a network site;
- generating, using a machine learning scheme, values of a first interaction type for the plurality of users, the values of the first interaction type indicating a likelihood of user interaction with the network site, the values of the first interaction type grouped into different ranges;
- identifying, from the different ranges, one or more top ranges that comprise users that perform an elevated amount of a second interaction type with the network site, the second interaction type being a different user interaction with the network site than the first interaction type;
- storing a set of users that have first interaction type values that are in the one or more top ranges;
- and
- transmitting an electronic document to the set of users.
A system comprising:
- one or more processors of a machine;
- and
- a memory storing instructions that, when executed by the one or more processors, cause the machine to perform operations comprising:
- identifying, using one or more processors of a machine, a plurality of users of a network site;
- generating, using a machine learning scheme, values of a first interaction type for the plurality of users, the values of the first interaction type indicating a likelihood of user interaction with the network site, the values of the first interaction type grouped into different ranges;
- identifying, from the different ranges, one or more top ranges that comprise users that perform an elevated amount of a second interaction type with the network site, the second interaction type being a different user interaction with the network site than the first interaction type;
- storing a set of users that have first interaction type values that are in the one or more top ranges;
- and
- transmitting an electronic document to the set of users.
A machine-readable storage device embodying instructions that, when executed by a machine, cause the machine to perform operations comprising:
- identifying, using one or more processors of a machine, a plurality of users of a network site;
- generating, using a machine learning scheme, values of a first interaction type for the plurality of users, the values of the first interaction type indicating a likelihood of user interaction with the network site, the values of the first interaction type grouped into different ranges;
- identifying, from the different ranges, one or more top ranges that comprise users that perform an elevated amount of a second interaction type with the network site, the second interaction type being a different user interaction with the network site than the first interaction type;
- storing a set of users that have first interaction type values that are in the one or more top ranges;
- and
- transmitting an electronic document to the set of users.
Dependencies are inferred from the claim text.