PATENT CLAIM ANALYSIS

Application Number: 16417148
Application Type: Utility
Filing Date: 2019-05
Publication Date: 2019-11
Patent Classification: ["706", "021000"]

Abstract:
Systems and methods for generating a slate of ranked items are provided. In one example embodiment, a computer-implemented method includes inputting a sequence of candidate items into a machine-learned model, and obtaining, in response to inputting the sequence of candidate items into the machine-learned model, an output of the machine-learned model that includes a ranking of the candidate items that presents a diverse set of the candidate items at the top positions in the ranking such that one or more highly relevant candidate items can be demoted in the ranking.

Claim (Index 13):
A computer-implemented method to generate an output sequence from a list of candidate items, the method comprising:\n ranking, by one or more computing devices, the list of candidate items to generate an initial sequence of candidate items; inputting, by the one or more computing devices, the initial sequence of candidate items into an encoder network configured to receive the initial sequence of candidate items and provide an output that includes a sequence of latent memory states; inputting, by the one or more computing devices, a previously-selected candidate item for the output sequence into a decoder network configured to receive the previously-selected candidate item and provide an output vector based at least in part on the previously-selected candidate item; and inputting the sequence of latent memory states and a query including the output vector from the decoder network into an attention network configured to receive the sequence of latent memory states and the query including the output vector from the decoder network, the attention network configured to produce a probability distribution associated with a next candidate item to include in the output sequence.

Metadata:
- Claim Count in Document: 2.0
- Percentile: 100.0
- Lexical Diversity: 1.92
- Patent Class: 706.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15975731', '15469981', '14586202', '15475016', '15381637']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3668455761511284
- 35 USC 102 Novelty (BERT): 0.4806084782558053
- Combined Prediction Score: 0.3782218663615961
- Mean Citation Score: 185.953252
- Max Citation Score: 205.69078
- Similarity Product: 152.20617703026298

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