PATENT CLAIM ANALYSIS

Application Number: 15883030
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-05
Patent Classification: ["707", "737000"]

Abstract:
Embodiments are directed towards managing data using modeling platform. A principal data set and match data set may be provided. The principal data set may include principal objects and the match data set may include other model objects. Blocking may associate each of the plurality of principal objects with potential match objects. Principal objects from the plurality of principal objects may be selected based on heuristics, their associated potential match objects, or the like. Potential match objects may be labeled as a true match or a non-match with respect to their associated principal object. A ranker may be trained to identify top-ranked matches based on the labeled potential match objects. The trained ranker may be employed to indicate matches where each matching other model object is a potential match object that is ranked higher than other potential match objects that are associated with its matched principal object.

Claim (Index 15):
The network computer of  claim 14 , wherein the first engine performs further actions comprising selecting the one or more principal objects based on one or more heuristics and one or more associations with the selected other objects.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 86.0
- Lexical Diversity: 2.34328
- Patent Class: 707.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15595612', '15408337', '15714866', '15799322', '12840422']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2063285299601031
- 35 USC 102 Novelty (BERT): 0.5244766710767219
- Combined Prediction Score: 0.238143344071765
- Mean Citation Score: 202.590548
- Max Citation Score: 349.40393
- Similarity Product: 257.8393907024044

Labels:
- Claim Label 101: 0
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 0
- Label 101 Adjusted: 0

Dataset: test