PATENT CLAIM ANALYSIS

Application Number: 15973130
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2018-09
Patent Classification: ["709", "224000"]

Abstract:
Software for online active learning receives content posted to an online stream at a website. The software converts the content into an elemental representation and inputs the elemental representation into a probit model to obtain a predictive probability that the content is abusive. The software also calculates an importance weight based on the elemental representation. And the software updates the probit model using the content, the importance weight, and an acquired label if a condition is met. The condition depends on an instrumental distribution. The software removes the content from the online stream if a condition is met. The condition depends on the predictive probability, if an acquired label is unavailable.

Claim (Index 1):
A method for delivering content for display on client devices, comprising the operations of:\n receiving, at one or more servers, content that includes a plurality of user generated content (UGC) items, at least a portion of which is abusive; processing, at the one or more servers, the plurality of UGC items using a predictive model to obtain a predictive probability of whether each of the plurality of UGC items is abusive or not abusive; selecting, based on the predictive probability, specific ones of the plurality of UGC items for which to request a label; updating, in response to receipt of one or more labels, the predictive model using the one or more labels; applying the predictive model having been updated to the plurality of UGC items for removing the portion of the plurality of UGC items that is abusive from the content; and serving, to a client device, the content without the portion of the plurality of the UGC items that is abusive.

Metadata:
- Claim Count in Document: 37.0
- Percentile: 93.0
- Lexical Diversity: 2.28302
- Patent Class: 709.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['13282285', '13090378', '15365899', '13529547', '14582550']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.233135763461551
- 35 USC 102 Novelty (BERT): 0.5487198088870736
- Combined Prediction Score: 0.2646941680041033
- Mean Citation Score: 197.108362
- Max Citation Score: 437.5032
- Similarity Product: 319.6352220012188

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

Dataset: test