Explicit Behavioral Targeting of Search Users in the Search Context Based on Prior Online Behavior
AssigneeMicrosoft Technology Licensing, LLC
InventorsShaoyu Zhou, Sijian Zhang, Aswath Mohan, Piyush Naik, Lauren M. Dunn
Life of this patent
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Abstract
A method of displaying secondary content is disclosed. The method receives historical behavior data and a search query for a user. The method extracts behavior features from the user's historical behavior and scores the user based on the behavioral features to create a user score specific to secondary content. The method uses the user score to display user specific secondary content to the user.
Claims20
A method, comprising:
- receiving historical behavior data and a search query for a user;
- extracting behavior features from the user's historical behavior;
- scoring the user based on the behavioral features to create a user scores specific to various types of secondary content;
- and
- using the user scores and the search query to select and display user specific secondary content to the user.
A system, comprising:
- at least one processor;
- and
- memory, operatively connected to the at least one processor and storing instructions that, when executed by the at least processor, cause the at least one processor to perform a method for generating the display of specific secondary content, the method comprising:
- receiving historical behavior data and a search query for a user;
- extracting behavior features from the user's historical behavior;
- scoring the user based on the behavioral features to create a user scores specific to various types of secondary content;
- and
- using the user scores and the search query to select and display user specific secondary content to the user.
A non-transitory machine readable storage medium having stored thereon a computer program, the computer program comprising a routine of set instructions for causing the machine to perform the operations of:
- receiving historical behavior data and a search query for a user;
- extracting behavior features from the user's historical behavior;
- scoring the user based on the behavioral features to create a user scores specific to various types of secondary content;
- and
- using the user scores and the search query to select and display user specific secondary content to the user.
Dependencies are inferred from the claim text.