PATENT CLAIM ANALYSIS

Application Number: 16001462
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2018-12
Patent Classification: ["705", "005000"]

Abstract:
Virtualization methods and systems for optimizing the availability of items in an inventory of items in a reservation system. The items are classified into item types and an item type is defined by a requestable set of at least one characteristic. Reservations may be received for a set of at least one characteristic that is a subset of an item type. After a reservation has been accepted, all the availabilities of the requestable sets of at least one characteristic in the inventory are updated. The reservation system may be a hotel reservation system and item types may be hotel room types or other bookable products. The reservation system may be a flight reservation system and item types may be bookable places on flights.

Claim (Index 4):
The method of  claim 1 , further comprising:\n receiving, at the server from a configuration system, a predefined list defining:\n (i) the sets of characteristics, \n (ii) the partial sets of characteristics, and \n (iii) respective inventory counts of items corresponding to each set of characteristics and each partial set of characteristics; and \n generating, at the server, the initial availabilities based on the predefined list.

Metadata:
- Claim Count in Document: 47.0
- Percentile: 94.0
- Lexical Diversity: 2.24138
- Patent Class: 705.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['09932263', '09487361', '12538403', '12644875', '09589037']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.1117040406914437
- 35 USC 102 Novelty (BERT): 0.4870337175110545
- Combined Prediction Score: 0.1492370083734048
- Mean Citation Score: 189.590318
- Max Citation Score: 218.03305
- Similarity Product: 157.60757380614876

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

Dataset: test