Relevancy filter for new data based on underlying files
First Claim
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1. In a computing system environment, a method of filtering to users relevancy data available from one or more computing devices, comprising:
- from a plurality of original files on the one or more computing devices, each file representing an underlying original bits of data and representative of a relevancy topic, creating a key in a multi-dimensional mapping space for the relevancy topic wherein the multi-dimensional mapping space is defined by an N-dimensional space according to a number of symbols N corresponding to the underlying original bits of data, said key being created by defining a digital spectrum of each of said plurality of files from an entirety of said original bits of data of said plurality of files, aggregating each said digital spectrum of each of said plurality of files, and plotting said aggregated digital spectrum as defining a single point in the multi-dimensional mapping space representing the relevancy topic for said plurality of original files; and
determining whether new data on the one or more computing devices is sufficiently related to the relevancy topic by being within a predefined closeness of the key in the multi-dimensional mapping space.
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Abstract
A plurality of original files represent underlying original bits of data from which a key is created in a multi-dimensional mapping space for a relevancy topic. If new data is sufficiently close to this relevancy topic key, it is related to the topic and presented to users. Various closeness measures are defined as are methods for key creation. Still other features contemplate computing arrangements and program products.
119 Citations
19 Claims
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1. In a computing system environment, a method of filtering to users relevancy data available from one or more computing devices, comprising:
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from a plurality of original files on the one or more computing devices, each file representing an underlying original bits of data and representative of a relevancy topic, creating a key in a multi-dimensional mapping space for the relevancy topic wherein the multi-dimensional mapping space is defined by an N-dimensional space according to a number of symbols N corresponding to the underlying original bits of data, said key being created by defining a digital spectrum of each of said plurality of files from an entirety of said original bits of data of said plurality of files, aggregating each said digital spectrum of each of said plurality of files, and plotting said aggregated digital spectrum as defining a single point in the multi-dimensional mapping space representing the relevancy topic for said plurality of original files; and determining whether new data on the one or more computing devices is sufficiently related to the relevancy topic by being within a predefined closeness of the key in the multi-dimensional mapping space. - View Dependent Claims (2, 3, 4, 5, 6, 7)
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8. In a computing system environment, a method of filtering to users relevancy data available from one or more computing devices, comprising:
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from a plurality of original files on the one or more computing devices, each file representing an underlying original bits of data and representative of a relevancy topic, creating a key in a multi-dimensional mapping space for the relevancy topic wherein the multi-dimensional mapping space is defined by an N-dimensional space according to a number of symbols N corresponding to the underlying original bits of data, said key being created by defining a digital spectrum of each of said plurality of files from an entirety of said original bits of data of said plurality of files, aggregating each said digital spectrum of each of said plurality of files, and plotting said aggregated digital spectrum as defining a single point in the multi-dimensional mapping space representing the relevancy topic for said plurality of original files; defining a measure of closeness to the key in the multi-dimensional mapping space; and presenting to users new data from the one or more computing devices sufficiently related to the relevancy topic that is within the measure of closeness. - View Dependent Claims (9, 10, 11, 12, 13, 14, 15, 16, 17)
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18. A computer program product available on a non-transitory computer readable medium for loading on a computing device in a computing system environment, the computer program product being configured for filtering to users relevancy data available from one or more computing devices, comprising:
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executable instructions for configuring a key in a multi-dimensional mapping space for a relevancy topic from a plurality of original files on the one or more computing devices wherein the multi-dimensional mapping space is defined by an N-dimensional space according to a number of symbols N corresponding to the underlying original bits of data, each file representing an underlying original bits of data and representative of the relevancy topic, and determining by execution on a processor of the computing device whether new data on the one or more computing devices is sufficiently related to the relevancy topic by being within a predefined closeness of the key; wherein said key is created from an entirety of said original bits of data of said plurality of files by defining a digital spectrum of each of said plurality of files, aggregating each said digital spectrum of each of said plurality of files, and plotting said aggregated digital spectrum as defines a single point in the multi-dimensional mapping space representing the relevancy topic for said plurality of original files. - View Dependent Claims (19)
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Specification