ALMOST ONLINE LARGE SCALE COLLABORATIVE FILTERING BASED RECOMMENDATION SYSTEM
First Claim
1. A method implemented on a machine having at least one processor, a storage, and a communication platform for adjusting one or more parameters associated with a model, comprising:
- obtaining, from a first source, first information related to activity of a user;
adjusting one or more parameters associated with a model based on the first information obtained within a first time period having a first length of time;
obtaining, from a second source, second information related to activity of the use; and
adjusting at least the one or more parameters associated with the model based on the second information obtained within a second time period having a second length of time and a measure indicative of performance of the model, whereinthe model is used to determine an affiliation between the user and content, andthe second length of time is larger than the first length of time.
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Accused Products
Abstract
A method for adjusting one or more parameters associated with a model. The method comprises obtaining, from a first source, first information related to activity of a user. The method further comprises adjusting one or more parameters associated with a model based on the first information collected within a first length of time, and obtaining, from a second source, second information related to activity of the user. The method further comprises adjusting the one or more parameters associated with the model based on the second information collected within a second length of time and a measure indicative of performance of the model, wherein the second length of time is larger than the first length of time.
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Citations
23 Claims
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1. A method implemented on a machine having at least one processor, a storage, and a communication platform for adjusting one or more parameters associated with a model, comprising:
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obtaining, from a first source, first information related to activity of a user; adjusting one or more parameters associated with a model based on the first information obtained within a first time period having a first length of time; obtaining, from a second source, second information related to activity of the use; and adjusting at least the one or more parameters associated with the model based on the second information obtained within a second time period having a second length of time and a measure indicative of performance of the model, wherein the model is used to determine an affiliation between the user and content, and the second length of time is larger than the first length of time. - View Dependent Claims (4, 5, 6, 7, 8, 9)
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2-3. -3. (canceled)
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10. A system having at least one processor for adjusting one or more parameters associated with a model, the system comprising:
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a modeling enhancer implemented on the at least one processor and configured to obtain, from a first source, first information related to activity of a user, and obtain, from a second source, second information related to activity of the user; a first adjuster implemented on the at least one processor and configured to adjust one or more parameters associated with a model based on the first information obtained within a first time period having a first length of time; and a second adjuster implemented on the at least one processor and configured to adjust at least the one or more parameters associated with the model based on the second information obtained within a second time period having a second length of time and a measure indicative of performance of the model, wherein the model is used to determine an affiliation between the user and content, and the second length of time is larger than the first length of time. - View Dependent Claims (11, 12, 13, 14, 15, 16)
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17. A non-transitory machine readable medium having recorded thereon information for adjusting one or more parameters associated with a model, wherein the information, when read by a computer, causes the machine to perform the steps of:
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obtaining, from a first source, first information related to activity of a user; adjusting one or more parameters associated with a model based on the first information obtained within a first time period having a first length of time; obtaining, from a second source, second information related to activity of the use; and adjusting at least the one or more parameters associated with the model based on the second information obtained within a second time period having a second length of time and a measure indicative of performance of the model, wherein the model is used to determine an affiliation between the user and content, and the second length of time is larger than the first length of time. - View Dependent Claims (18, 19, 20, 21, 22, 23)
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Specification