Systems and methods for targeted advertising
First Claim
1. A system for generating targeted advertisement recommendations, the system comprising:
- a data aggregation module configured to obtain word data from social-network data of one or more network resources, the word data comprising a plurality of words in the social-network data;
a relationship mining module in communication with the data aggregation module, the relationship mining module configured to create word relationships between selected ones of the plurality of words in the word data to produce relationship data, each of the word relationships reflecting a degree of association between two or more of the selected words, wherein the degree of association is based at least in part on an amount of social momentum between said selected words and at least one of;
a frequency of the selected words in the social network data,a recency of a subset of the social-network data that comprises the two or more selected words, andan authority factor of the subset of the social-network data; and
a recommender module in communication with the relationship module, the recommender module configured to;
access browse information of a target user to identify one or more first words in the target user'"'"'s browse information,identify the one or more first words in the relationship data,identify one or more second words in the relationship data that have one or more of said word relationships with the one or more first words,identify one or more advertisements having at least one keyword that corresponds to the one or more second words,selecting an advertisement from the one or more advertisements based on the degree of association between said keyword and the one or more second words, andtransmitting said selected advertisement.
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Abstract
Methods of generating recommendations may include obtaining social network data from one or more network resources. Word relationships may be created between selected words in the social network data to produce relationship data. Advertisement or other asset recommendations may be generated for a target user by analyzing browse information of the target user to identify one or more words. Other words in the relationship data may be identified that are related to the words in the target user'"'"'s browse information. One or more advertisements may be identified having at least one keyword that corresponds to the other words. At least a portion of these advertisements may be selected from a data repository to provide to the target user.
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Citations
17 Claims
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1. A system for generating targeted advertisement recommendations, the system comprising:
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a data aggregation module configured to obtain word data from social-network data of one or more network resources, the word data comprising a plurality of words in the social-network data; a relationship mining module in communication with the data aggregation module, the relationship mining module configured to create word relationships between selected ones of the plurality of words in the word data to produce relationship data, each of the word relationships reflecting a degree of association between two or more of the selected words, wherein the degree of association is based at least in part on an amount of social momentum between said selected words and at least one of; a frequency of the selected words in the social network data, a recency of a subset of the social-network data that comprises the two or more selected words, and an authority factor of the subset of the social-network data; and a recommender module in communication with the relationship module, the recommender module configured to; access browse information of a target user to identify one or more first words in the target user'"'"'s browse information, identify the one or more first words in the relationship data, identify one or more second words in the relationship data that have one or more of said word relationships with the one or more first words, identify one or more advertisements having at least one keyword that corresponds to the one or more second words, selecting an advertisement from the one or more advertisements based on the degree of association between said keyword and the one or more second words, and transmitting said selected advertisement. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9)
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10. A method of generating targeted advertisement recommendations, said method implemented on a non-transitory computer readable medium for storing a computer program for execution on a computer, the method comprising:
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obtaining word data from one or more network resources, the word data comprising words in content of the one or more network resources; creating word relationships between selected words in the word data to produce relationship data, each word relationship indicating a degree of association between two or more of the selected words and wherein said degree of association is based at least in part on an amount of social momentum between said selected words; analyzing browse information of a target user to identify one or more first words in the target user'"'"'s browse information; identifying, based on the word relationships, second words in the relationship data that are related to the first words in the target user'"'"'s browse information; identifying one or more advertisements having at least one keyword that corresponds to the second words; selecting at least a portion of the one or more advertisements, based on the degree of association between said keyword and the second words, from a data repository to provide to the target user; and transmitting said selected advertisement to the target user. - View Dependent Claims (11, 12, 13, 14, 15, 16, 17)
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Specification