PATENT CLAIM ANALYSIS

Application Number: 16020908
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2020-01
Patent Classification: ["705", "007190"]

Abstract:
A method performed by one or more electronic devices for ascertaining a purpose of a meeting is described. In various embodiments, calendar event data and trip data are obtained. The calendar event data and the trip data are combined to produce aggregated data. A set of feature vectors are determined for the aggregated data. A neural network is utilized to determine whether the set of feature vectors indicate a meeting. A set of purpose clusters are generated based on at least one of the set of feature vectors and user-formulated purposes and a prototype purpose is formulated for each cluster in the set of purpose clusters. At least a subset of the feature vectors is mapped to one cluster of the set of purpose clusters in response to determining that the feature vectors indicate a meeting. The prototype purpose for the mapped cluster for the indicated meeting is presented.

Claim (Index 11):
The method of  claim 1 , further comprising:\n employing the one or more processors to perform the steps of:\n obtaining a set of historical meeting objects; \n determining a set of historical feature vectors for the set of historical meeting objects; \n fitting an attendance likelihood model to the set of historical feature vectors; and \n predicting an attendance likelihood for a set of names of a current meeting object.

Metadata:
- Claim Count in Document: 53.0
- Percentile: 94.0
- Lexical Diversity: 2.39394
- Patent Class: 705.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14580482', '13485415', '12726241', '12480831', '14626067']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.0998792154280642
- 35 USC 102 Novelty (BERT): 0.4815451850308908
- Combined Prediction Score: 0.1380458123883469
- Mean Citation Score: 143.924388
- Max Citation Score: 168.78014
- Similarity Product: 116.01031076220988

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

Dataset: test