PATENT CLAIM ANALYSIS

Application Number: 15942276
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-12
Patent Classification: ["709", "217000"]

Abstract:
The present disclosure discloses an artificial intelligence based method and apparatus for pushing news. A specific embodiment of the method includes: determining at least one news subject from a news text of to-be-pushed news; extracting, from the news text, text fragments respectively associated with news subjects; generating, for each of the news subjects, a subject tag based on the extracted text fragment through a deep learning method; and pushing the to-be-pushed news based on the at least one news subject and the generated subject tag. This embodiment may improve the effectiveness of news pushing.

Claim (Index 4):
The method according to  claim 3 , wherein the extracting, from the news text, text fragments respectively associated with news subjects further comprises:\n for a clause not matched with the news subject in the news text, determining whether the clause contains a pronoun; and if yes, determining the news subject corresponding to the pronoun using anaphora resolution and extracting the clause as the text fragment associated with the news subject corresponding to the contained pronoun.

Metadata:
- Claim Count in Document: 14.0
- Percentile: 90.0
- Lexical Diversity: 1.98113
- Patent Class: 709.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15606832', '15942297', '14709406', '11446195', '13012740']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2715290837823373
- 35 USC 102 Novelty (BERT): 0.4922141253402456
- Combined Prediction Score: 0.2935975879381282
- Mean Citation Score: 146.575052
- Max Citation Score: 158.69661000000005
- Similarity Product: 93.9597451968384

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