PATENT CLAIM ANALYSIS

Application Number: 16286124
Application Type: Utility
Filing Date: 2019-02
Publication Date: 2019-06
Patent Classification: ["455", "414000"]

Abstract:
Embodiments of the present invention provide a method, system and computer program product for context sensitive contact substitution for mobile communications. In an embodiment of the invention, a method for context sensitive contact substitution for mobile communications includes selecting a contact disposed within a list of contacts in memory of a mobile computing device for use in establishing a telephone call with the selected contact through the mobile computing device. The method also includes determining a context of the telephone call and identifying in the list of contacts an alternate contact to the selected contact based upon the determined context. In this regard, the context may be a location of the mobile computing device, or a time of day of establishing the telephone call, to name two examples. Finally, the method includes establishing the telephone call through the mobile computing device with the alternate contact instead of the selected contact.

Claim (Index 17):
The computer program product of  claim 13 , wherein the alternate contact is selected based upon auxiliary information stored in the list of contacts in connection with the selected which is common to the alternate contact.

Metadata:
- Claim Count in Document: 32.0
- Percentile: 99.0
- Lexical Diversity: 2.51562
- Patent Class: 455.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14561150', '15818185', '13339903', '11878026', '14107762']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6666029403944187
- 35 USC 102 Novelty (BERT): 0.5313659252020461
- Combined Prediction Score: 0.6530792388751815
- Mean Citation Score: 209.069322
- Max Citation Score: 332.92508
- Similarity Product: 242.26156213701248

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