PATENT CLAIM ANALYSIS

Application Number: 16097357
Application Type: Utility
Filing Date: 2018-10
Publication Date: 2019-05
Patent Classification: ["358", "001150"]

Abstract:
In one example, a server is disclosed, which includes a communication interface to obtain printer data and attribute data associated with a plurality of print jobs that has been processed by at least one printer and obtain a user rating corresponding to each of the plurality of print jobs. Further, the server may include an analyzing unit to determine a predictive model by analyzing the user ratings, printer data and attribute data corresponding to each print job of the plurality of print jobs. Furthermore, the server may include a recommendation unit to recommend a printer, printer settings or combination of the printer and printer settings based on a given print job using the predictive model.

Claim (Index 13):
A non-transitory computer-readable storage medium comprising instructions that, when executed by a processor, cause the processor to:\n obtain printer data and attribute data associated with a print job that is processed by a printer; prompt a user to input a rating associated with the print job; analyze the user rating, printer data and attribute data corresponding to the print job; and store the user rating, printer data and attribute data corresponding to the print job, wherein the stored data is used to recommend printer settings for subsequent print jobs.

Metadata:
- Claim Count in Document: 35.0
- Percentile: 97.0
- Lexical Diversity: 2.13793
- Patent Class: 358.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['11395520', '09895093', '14580795', '12030653', '15906552']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4439261440565376
- 35 USC 102 Novelty (BERT): 0.466399555100725
- Combined Prediction Score: 0.4461734851609564
- Mean Citation Score: 158.87334199999995
- Max Citation Score: 163.74423000000004
- Similarity Product: 135.74532267378154

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

Dataset: test