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 6):
The machine-learning based system of  claim 1 , wherein the new transaction is associated with at least one of: (1) an existing product or service already purchased by the user; (2) a competing product or service that competes with or is similar to an existing product or service already purchased by the user; or (3) a product or service determined based on any one or more of the one or more search requests, the one or more transaction details, or the profile information of the user.

Metadata:
- Claim Count in Document: 59.0
- Percentile: 100.0
- Lexical Diversity: 2.36486
- Patent Class: 705.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15933983', '13072678', '13931555', '12154241', '12460488']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.0958437031338343
- 35 USC 102 Novelty (BERT): 0.5640843460811034
- Combined Prediction Score: 0.1426677674285612
- Mean Citation Score: 222.506806
- Max Citation Score: 417.95917
- Similarity Product: 416.0087106808371

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