PATENT CLAIM ANALYSIS

Application Number: 16011750
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2018-10
Patent Classification: ["707", "722000"]

Abstract:
A method of recommending a friend in a first terminal is provided. The method includes generating first interest keyword information by analyzing event information of the first terminal, receiving second interest keyword information of a second terminal, comparing the first interest keyword information and the second interest keyword information, and displaying information recommending a user of the second terminal as a friend based on a result of the comparing.

Claim (Index 1):
A method of recommending a friend, performed by a server, the method comprising:\n receiving, by a processor of the server, interest keyword information from each of a plurality of terminals connected to the server, wherein the interest keyword information includes at least one from among location information and time information corresponding to the interest keyword information; obtaining, by the processor, a similarity between the interest keyword information received from each of the plurality of terminals; determining, by the processor, friend recommendation information on each terminal included in the plurality of terminals according to the obtained similarity; and providing, by the processor, the determined friend recommendation information to the each terminal included in the plurality of terminals.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 94.0
- Lexical Diversity: 2.24242
- Patent Class: 707.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['13975539', '15797053', '13877809', '15001123', '13592530']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2348990718616123
- 35 USC 102 Novelty (BERT): 0.5707425067368316
- Combined Prediction Score: 0.2684834153491343
- Mean Citation Score: 251.683794
- Max Citation Score: 412.22916
- Similarity Product: 320.64789507290845

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

Dataset: test