Invention Grant
- Patent Title: Multi-level, cluster-based optimization techniques
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Application No.: US17460567Application Date: 2021-08-30
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Publication No.: US11550824B2Publication Date: 2023-01-10
- Inventor: Gavin Romm , Regina Circosta , Andrea Ardemagni , Max Greenberg-Thompson , Ruokun Huang
- Applicant: AllianceBernstein L.P.
- Applicant Address: US NY New York
- Assignee: AllianceBernstein L.P.
- Current Assignee: AllianceBernstein L.P.
- Current Assignee Address: US NY New York
- Agency: Kowert, Hood, Munyon, Rankin & Goetzel, P.C.
- Agent Dean M. Munyon
- Main IPC: G06F16/28
- IPC: G06F16/28 ; G06F16/245

Abstract:
Techniques are disclosed relating to multi-level, cluster-based optimization. In various embodiments, the disclosed techniques include performing a multi-level optimization operation to optimize the composition of a cluster of collections. For example, in various embodiments, the disclosed techniques include iteratively filtering a (typically large) set of available items down into progressively smaller subsets, from which items may be selected to modify the composition of the collections in a cluster of related collections. In some embodiments, the disclosed techniques include performing multi-level optimization operation that includes a collection-level optimization calculation for individual collections in the cluster, and, after filtering the set of available items based on the collection-level optimization calculations, performing a cluster-level optimization calculation. Based on this cluster-level optimization calculation, the disclosed techniques may determine a set of modifications to perform to optimize the composition of the collections in the cluster.
Public/Granted literature
- US20220067071A1 MULTI-LEVEL, CLUSTER-BASED OPTIMIZATION TECHNIQUES Public/Granted day:2022-03-03
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