BEHAVIOR TARGETING SOCIAL RECOMMENDATIONS
First Claim
Patent Images
1. A method, comprising:
- for each user of a plurality of users;
accessing a user profile index to determine at least one reading interest of the user;
indexing publishing interests of the user based on gathered publishing data from the user, such that the publishing interests include topics generated from key words in the publishing behavior information and latent semantic topics inferred from the publishing behavior information;
performing relevance matching to determine matching users such that each matching user has at least one publishing interest that is relevant to at least one reading interest of the user;
ranking the matching users;
based on the ranking, determining one or more top ranked matching users; and
enabling a social recommendation for each of the one or more top ranked matching users to be made to the user.
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Abstract
A process for generating social recommendations is provided. For each user, a user profile index is accessed to determine reading interests of the user. Further, relevance matching is performed to determine matching users having at least one publishing interest that is relevant to the reading interests of the user. Next, the matching users are ranked. Based on the ranking, one or more top ranked matching user(s) are determined. Additionally, a social recommendation for each of the top ranked matching user(s) is enabled to be made to the user.
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Citations
20 Claims
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1. A method, comprising:
for each user of a plurality of users; accessing a user profile index to determine at least one reading interest of the user; indexing publishing interests of the user based on gathered publishing data from the user, such that the publishing interests include topics generated from key words in the publishing behavior information and latent semantic topics inferred from the publishing behavior information; performing relevance matching to determine matching users such that each matching user has at least one publishing interest that is relevant to at least one reading interest of the user; ranking the matching users; based on the ranking, determining one or more top ranked matching users; and enabling a social recommendation for each of the one or more top ranked matching users to be made to the user. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8)
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9. A network device, comprising:
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a transceiver that is configured to send and receive data over a network; and a processor that is configured to perform actions, including for each user of a plurality of users; accessing a user profile index to determine at least one reading interest of the user; indexing publishing interests of the user based on gathered publishing data from the user, such that the publishing interests include topics generated from key words in the publishing behavior information and latent semantic topics inferred from the publishing behavior information; performing relevance matching to determine matching users such that each matching user has at least one publishing interest that is relevant at least one reading interest of the user; ranking the matching users; based on the ranking, determining one or more top ranked matching users; and enabling a social recommendation for each of the one or more top ranked matching users to be made to the user. - View Dependent Claims (10, 11)
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12. A tangible processor-readable medium having processor-executable code encoded therein, which when executed by one or more processors, enables actions, comprising:
for each user of a plurality of users accessing a user profile index to determine at least one reading interest of the user; indexing publishing interests of the user based on gathered publishing data from the user, such that the publishing interests include topics generated from key words in the publishing behavior information and latent semantic topics inferred from the publishing behavior information; performing relevance matching to determine matching users such that each matching user has at least one publishing interest that is relevant at least one reading interest of the user; ranking the matching users; based on the ranking, determining one or more top ranked matching users; and enabling a social recommendation for each of the one or more top ranked matching users to be made to the user. - View Dependent Claims (13, 14)
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15. A system, comprising:
a plurality of network devices that are configured to perform actions, including; for each user of a plurality of users; accessing a user profile index to determine at least one reading interest of the user; indexing publishing interests of the user based on gathered publishing data from the user, such that the publishing interests include topics generated from key words in the publishing behavior information and latent semantic topics inferred from the publishing behavior information; performing relevance matching to determine matching users such that each matching user has at least one publishing interest that is relevant to at least one reading interest of the user; ranking the matching users; based on the ranking, determining one or more top ranked matching users; and enabling a social recommendation for each of the one or more top ranked matching users to be made to the user. - View Dependent Claims (16, 17, 18, 19, 20)
Specification