PATENT CLAIM ANALYSIS

Application Number: 16040422
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2018-11
Patent Classification: ["715", "234000"]

Abstract:
A calendar platform is provided for creating an event calendar for publication on a website and sharing events between different calendars. A method is provided for generating and maintaining an online calendar, comprising retrieving a first event feed from a first calendar source, retrieving a second event feed from a second calendar source, iterating through events of the first and second event feeds, determining for each event whether there is a corresponding event entry in the online calendar; and adding the event to the online calendar if there is no corresponding event entry located in the online calendar. A category associated with the calendar source is assigned to each event. A user can filter the events by category and display or publish events of certain categories, or export selected events to the user's calendar.

Claim (Index 26):
The method of  claim 25 , comprising maintaining the event data by retrieving an updated first event feed from the first calendar source and retrieving an updated second event feed from the second calendar source, and iterating through each one of the updated first and second event feeds to update the event data with event information contained in the event feed.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 95.0
- Lexical Diversity: 2.19697
- Patent Class: 715.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15170592', '13607456', '13914435', '11671323', '10116301']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3616078338309129
- 35 USC 102 Novelty (BERT): 0.5194464429903811
- Combined Prediction Score: 0.3773916947468597
- Mean Citation Score: 259.330742
- Max Citation Score: 360.9105
- Similarity Product: 224.3659856234193

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