SEARCH CLUSTERING
2 Assignments
0 Petitions
Accused Products
Abstract
In one example embodiment, a method is illustrated as including retrieving item data. At least one base cluster having at least one document with common item data stored in a suffix ordering is constructed. The at least one base cluster is compacted to create a compacted cluster representation having a reduced duplicate suffix ordering amongst the clusters.
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Citations
21 Claims
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1. (canceled)
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2. A machine-readable storage medium that does not comprise transitory signals, the machine-readable storage medium storing instructions which, when executed by at least one processor of a machine, cause the machine to perform operations comprising:
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retrieving, from a database, item data; constructing at least one base cluster having at least one document with common item data stored in a suffix ordering; and compacting the at least one base cluster to create a compacted cluster representation having a reduced duplicate suffix ordering amongst clusters. - View Dependent Claims (3, 4, 5, 6, 7, 8, 9, 10)
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11. A method comprising:
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retrieving, from a database, item data; constructing at least one base cluster having at least one document with common item data stored in a suffix ordering; and compacting, using a hardware processor, the at least one base cluster to create a compacted cluster representation having a reduced duplicate suffix ordering amongst clusters. - View Dependent Claims (12, 13, 14, 15, 16, 17, 18, 19)
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20. A system comprising:
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a hardware processor; a retrieving engine to retrieve, from a database, item data; a cluster generator to construct at least one base cluster having at least one document with common item data stored in a suffix ordering; and a compacting engine to compact, using the hardware processor, the at least one base cluster to create a compacted cluster representation having a reduced duplicate suffix ordering amongst clusters.
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21. The system of claim 21, further comprising a merging engine to merge the compacted cluster representation to generate a merged cluster based upon a first overlap value applied to the at least one document with the common item data.
Specification