PATENT CLAIM ANALYSIS

Application Number: 16208697
Application Type: Utility
Filing Date: 2018-12
Publication Date: 2019-04
Patent Classification: ["704", "009000"]

Abstract:
A search engine is enhanced to employ user preferences to customize answer output by, receiving a first plurality of candidate answers and weights to a first search query for a first user from a first stage of a non-semantic search engine routing and processing path; augmenting the weights for the plurality of candidate answers according to a set of preference coefficients according to a first set of preferences for the first user; selecting one or more of the first plurality of candidate answers according to the augmented weights; and producing an output including the selected one or more candidate answers.

Claim (Index 1):
A method for using user preferences to customize answer output comprising the steps of:\n receiving, by a computer, a first plurality of candidate answers and weights to a first search query for a first user from a first stage of a non-semantic search engine routing and processing path; augmenting, by a computer, the weights for the plurality of candidate answers according to a set of preference coefficients according to a first set of preferences for the first user; selecting, by a computer, one or more of the first plurality of candidate answers according to the augmented weights; and producing, by a computer, an output including the selected one or more candidate answers.

Metadata:
- Claim Count in Document: 26.0
- Percentile: 98.0
- Lexical Diversity: 2.1875
- Patent Class: 704.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14972066', '13843557', '15244334', '15621972', '14485747']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3188567431444878
- 35 USC 102 Novelty (BERT): 0.5153443308360989
- Combined Prediction Score: 0.3385055019136489
- Mean Citation Score: 331.425294
- Max Citation Score: 337.73105
- Similarity Product: 302.2753425404101

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

Dataset: test