PATENT CLAIM ANALYSIS

Application Number: 16176993
Application Type: Utility
Filing Date: 2018-10
Publication Date: 2019-02
Patent Classification: ["726", "028000"]

Abstract:
In an example embodiment, an attribute interference model is trained by a machine learning algorithm to output missing attribute values from a member profile of a social networking service. In an attribute inference phase, an identification of a member of a social networking service is obtained. A member profile corresponding to the member of the social networking service is retrieved using the identification. The member profile is then passed to the attribute inference model to generate one or more missing attribute values for the member profile. A collection flow, defined in a user interface of a computing device, is modified based on the generated one or more missing attribute values, the collection flow defining a sequence of screens for collecting confidential data. The modified collection flow is then presented to the member in the user interface to collect confidential data from the member.

Claim (Index 11):
The system of  claim 8 , wherein the attribute inference model is further trained to output a confidence score for each of the one or more missing attribute values and the modifying includes comparing, for each of the one or more missing attribute values, the confidence score to at least one threshold and modifying the collection flow for missing attribute values having confidence scores transgressing the at least one threshold.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 97.0
- Lexical Diversity: 2.40625
- Patent Class: 726.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15222774', '15618583', '15222804', '15224260', '15618554']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2720650890102642
- 35 USC 102 Novelty (BERT): 0.5389855327722639
- Combined Prediction Score: 0.2987571333864642
- Mean Citation Score: 260.850232
- Max Citation Score: 368.47208
- Similarity Product: 346.40418755542754

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

Dataset: test