PATENT CLAIM ANALYSIS

Application Number: 15966262
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2019-09
Patent Classification: ["705", "014250"]

Abstract:
Machine-learning based systems and methods are described for optimizing search engine results. A server receives, via a computer network, and associates, via a user profile, user information including search requests, transaction details, and/or profile information, for which a user receives purchasing units. The server executes a machine-learning component to predict, based on the user information, a user action score defining a probability of a user to engage in a new transaction. The server executes a search engine optimization component that receives, from the user's device, a new search request causing the search engine optimization component to generate a search engine offer associated with the new transaction. The server transmits the search engine offer to, and receives an acceptance from, computing device(s) of search engine market participant(s), the acceptance causing a targeted advertisement and search results to be returned to the user device in response to the new search request.

Claim (Index 1):
A machine-learning based system configured to optimize search engine results, the machine-learning based system comprising:\n a server, the server including one or more processors and one or more memories, the server configured to receive, via a computer network, one or more search requests of a first user, one or more transaction details of the first user, or profile information of the first user, wherein the server is further configured to generate or update a first user profile of a first account of the first user, wherein the first user profile is associated with, in the one or more memories, the one or more search requests of the first user, the one or more transaction details of the first user, or the profile information of the first user; and a machine-learning component configured to execute on the one or more processors of the server, the machine-learning component further configured to generate a prediction, based on the one or more search requests, the one or more transaction details, or the profile information, of a first user action score defining a probability of the first user to engage in a new transaction, wherein the server is further configured to associate, in the one or more memories, the first user profile with one or more first user purchasing units, the one or more first user purchasing units redeemable at one or more merchants, wherein a quantity of one or more first user purchasing units is determined at least based in part on the prediction, wherein the one or more first user purchasing units are associated with the first user profile after the server receives one or more of the one or more search requests of the first user, the one or more transaction details of the first user, or the profile information of the first user, wherein the server is further configured to receive, via the computer network, one or more search requests of a second user, one or more transaction details of the second user, or profile information of the second user, wherein the server is further configured to generate or update a second user profile of a second account of the second user, wherein the second user profile is associated with, in the one or more memories, the one or more search requests of the second user, the one or more transaction details of the second user, or the profile information of the second user, wherein the server is further configured to associate, in the one or more memories, the second user profile with one or more second user purchasing units, the one or more second user purchasing units redeemable at the one or more merchants, wherein the one or more second user purchasing units are associated with the second user profile after the server receives one or more of the one or more search requests of the second user, the one or more transaction details of the second, or the profile information of the second user, wherein the server is further configured to receive an approval request, the approval request received from a client device of the first user, and wherein the server is further configured to receive an approval indicator based on the approval request, the approval indicator received from a client device of the second user, the approval request indicating that the second user authorizes the first user to access or use the one or more second user purchasing units of the second account, the second account different from the first account.

Metadata:
- Claim Count in Document: 3.0
- Percentile: 91.0
- Lexical Diversity: 2.36486
- Patent Class: 705.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15933983', '13831051', '15701859', '14135234', '13747770']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.1112704579757015
- 35 USC 102 Novelty (BERT): 0.5272563208118669
- Combined Prediction Score: 0.152869044259318
- Mean Citation Score: 211.416488
- Max Citation Score: 362.7979
- Similarity Product: 328.44449295915365

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

Dataset: test