PATENT CLAIM ANALYSIS

Application Number: 16220943
Application Type: Utility
Filing Date: 2018-12
Publication Date: 2019-05
Patent Classification: ["709", "206000"]

Abstract:
This disclosure relates to systems, methods, and computer readable media for performing multi-format, multi-protocol message threading in a way that is most beneficial for the individual user. Users desire a system that will provide for ease of message threading by “stitching” together related communications in a manner that is seamless from the user's perspective. Such stitching together of communications across multiple formats and protocols may occur, e.g., by: 1) direct user action in a centralized communications application (e.g., by a user clicking ‘Reply’ on a particular message); 2) using semantic matching (or other search-style message association techniques); 3) element-matching (e.g., matching on subject lines or senders/recipients/similar quoted text, etc.); and 4) “state-matching” (e.g., associating messages if they are specifically tagged as being related to another message, sender, etc. by a third-party service, e.g., a webmail provider or Instant Messaging (IM) service).

Claim (Index 12):
The system of  claim 11 , wherein the instructions further comprise instructions to cause the one or more processing units to receive a query requesting at least one message from the first plurality of messages.

Metadata:
- Claim Count in Document: 65.0
- Percentile: 98.0
- Lexical Diversity: 1.71963
- Patent Class: 709.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14187699', '14579712', '14985907', '15457322', '14985756']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2960872875086753
- 35 USC 102 Novelty (BERT): 0.5480283115563628
- Combined Prediction Score: 0.321281389913444
- Mean Citation Score: 318.9436999999998
- Max Citation Score: 398.49152
- Similarity Product: 357.42003588012693

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