PATENT CLAIM ANALYSIS

Application Number: 16057438
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2019-02
Patent Classification: ["706", "016000"]

Abstract:
Users may request assistance or information from a limited number of resources, such as submitting a user request by speaking or entering text. A user request from among the pending user requests may be selected using a selection model. A selection model may process features relating to each of the pending user requests and generate a probability distribution for the pending user requests. A user request may then be selected using the probability distribution, such as by making a random selection. The selection model may be updated over multiple time periods by computing reward scores for the selection decisions made by the selection model and using the reward scores to update the parameters of the selection model.

Claim (Index 18):
One or more non-transitory, computer-readable media comprising computer executable instructions that, when executed, cause at least one processor to perform actions comprising:\n obtaining a first selection model, wherein the first selection model processes a feature vector corresponding to a user request and generates a score for selecting the user request for assignment to a resource; using the first selection model during a first time period to select user requests, wherein, during the first time period, a plurality of selection decisions are made, and wherein a first selection decision of the plurality of selection decisions comprises:\n determining that a first resource is available to assist users, \n obtaining information about a plurality of user requests awaiting assignment to a resource, \n computing a probability distribution for the plurality of user requests using the first selection model, wherein computing the probability distribution comprises computing a first score for a first user request by (i) creating a first feature vector using information about the first user request and (ii) processing the first feature vector using the first selection model, \n sampling the probability distribution to select a user request of the plurality of user requests for assignment to the first resource, and \n assigning the first resource to process to the selected user request; \n computing a reward score wherein the reward score indicates a performance of the first selection model during the first time period; computing a second selection model by modifying parameters of the first selection model using the reward score and the plurality of selection decisions; and using the second selection model during a second time period to select a user request for assignment to a resource.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 96.0
- Lexical Diversity: 2.13793
- Patent Class: 706.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15254086', '15678890', '15254041', '15254008', '15254061']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3445676848780662
- 35 USC 102 Novelty (BERT): 0.4608897068066717
- Combined Prediction Score: 0.3561998870709268
- Mean Citation Score: 141.890778
- Max Citation Score: 157.01259
- Similarity Product: 121.530943606444

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

Dataset: test