Open profile content identification
First Claim
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1. A computer-implemented method, comprising:
- identifying open profile data comprising free form text data in one or more open text fields in a user profile associated with a corresponding user account;
identifying one or more phrases from the free form text data;
assigning phrase weights to the one or more phrases;
sentiment detecting the free form text data to identify user interest and user non-interests from the one or more phrases;
decreasing phrase weights of phrases for which user non-interests have been identified;
increasing phrase weights of phrases for which user interests have been identified;
identifying categories defined by the open profile data based on the phrase weights of the one or more phrases; and
identifying one or more advertisements based on the identified categories.
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Abstract
Open profile data in a user profile, e.g., free-form fields in a user profile, are processed to identify interests and preferences of the user. The interests and preferences are utilized to identify categories associated with the user profile, and content items, e.g., advertisements, can be identified based on the categories.
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12 Claims
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1. A computer-implemented method, comprising:
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identifying open profile data comprising free form text data in one or more open text fields in a user profile associated with a corresponding user account; identifying one or more phrases from the free form text data; assigning phrase weights to the one or more phrases; sentiment detecting the free form text data to identify user interest and user non-interests from the one or more phrases; decreasing phrase weights of phrases for which user non-interests have been identified; increasing phrase weights of phrases for which user interests have been identified; identifying categories defined by the open profile data based on the phrase weights of the one or more phrases; and identifying one or more advertisements based on the identified categories. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 10, 11, 12)
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9. A computer-implemented method, comprising:
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identifying free-form text data in a user profile associated with a user account; natural language processing the free-form text data to identify phrases; assigning weights to the phrases; sentiment detecting the free form text data to identify user interest and user non-interests from phrases; decreasing phrase weights of phrases for which user non-interests have been identified; increasing phrase weights of phrases for which user interests have been identified; identifying category indicia based on the phrase weights of the phrases; and identifying one or more advertisements based on the identified category indicia.
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Specification