PATENT CLAIM ANALYSIS

Application Number: 16380205
Application Type: Utility
Filing Date: 2019-04
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 23):
A tangible, non-transitory computer-readable medium storing instructions for optimizing search engine results, that when executed by one or more processors of a computing device, the computing device including one or more memories, cause the computing device to:\n receive via a computer network, at the computing device, one or more search requests of a user, one or more transaction details of the user, and profile information of the user; generate or update a user profile of the user to cause the user profile to become associated with, in the one or more memories, the one or more search requests, the one or more transaction details, or the profile information of the user; train, via a machine-learning component executing on the one or more processors of the computing device, a machine learning model using a machine-learning feature dataset comprising each of: the one or more search requests, the one or more transaction details, and the profile information; generate, via the machine learning model with the machine-learning feature dataset, a user action score defining a probability of the user to engage in a new transaction; receive via the computer network, at the computing device, a new search request from a user device of the user; generate, via a search engine optimization component executing on the one or more processors of the computing device and upon receiving the new search request, a market participant-based search engine offer based on based on each of (1) the new search request and (2) the user action score, the market participant-based search engine offer configured for transmission to one or more search engine market participants, wherein the market participant-based search engine offer includes a targeted advertisement for the user; transmit from the computing device during the new search request, via the computer network, the market participant-based search engine offer to one or more computing devices of the one or more search engine market participants; and receiving at the computing device during the new search request, via the computer network, an acceptance of the market participant-based search engine offer from at least one of the computing devices of at least one of the one or more search engine market participants, the acceptance causing the targeted advertisement and search results to be transmitted to the user device in response to the new search request.

Metadata:
- Claim Count in Document: 59.0
- Percentile: 100.0
- Lexical Diversity: 2.36486
- Patent Class: 705.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15933983', '13072678', '13931555', '12154241', '12460488']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.0862551175923664
- 35 USC 102 Novelty (BERT): 0.5606209902935295
- Combined Prediction Score: 0.1336917048624827
- Mean Citation Score: 222.506806
- Max Citation Score: 417.95917
- Similarity Product: 401.7527172457528

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