Machine-learning based systems and methods for optimizing search engine results

A machine-learning based method for optimizing search engine results, the machine-learning based method comprising:

• receiving via a computer network, at a server including one or more processors and one or more memories, one or more search requests of a user, one or more transaction details of the user, and profile information of the user;
• generating or updating a user profile of the user to cause the user profile to become associated, in the one or more memories, with the one or more search requests, the one or more transaction details, or the profile information of the user;
• training, via a machine-learning component executing on the one or more processors of the server, 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;
• generating, 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;
• receiving via the computer network, at the server, a new search request from a user device of the user;
• generating, via a search engine optimization component executing on the one or more processors of the server 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;
• transmitting from the server 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 server 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 of the at least one of the one or more search engine market participants causing the targeted advertisement and search results to be transmitted to the user device in response to the new search request.

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:

• 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.