Recommendation engine and systems and methods therefor

A system for recommending deals, the system comprising:

• a machine learning data model;
• a database for storing feature values used by the machine learning data model, the database having placeholders for:
• a plurality of investor feature categories;
• a plurality of deal feature categories;
• a plurality of investor scores;
• and
• a plurality of deal scores;
• at least one processor;
• and
• a memory storing instructions which when executed by the at the least one processor cause the at least one processor to:
• obtain investor data for a plurality of investors, the investor data based on a plurality of investor features;
• obtain deal data for a plurality of deals, the deal data based on a plurality of deal features;
• normalize the investor data into investor feature values, wherein investor constraints are factored into the investor feature values;
• normalize the deal data into deal feature value, wherein deal constraints are factored into the deal feature values;
• populate the investor feature values and the deal feature values into the database;
• train the machine learning model with the investor feature values and the deal feature values, wherein the machine learning data model is configured to:
• receive available normalized investor feature data into corresponding investor feature categories in the machine learning model;
• receive available normalized deal feature data into corresponding deal feature categories in the machine learning model;
• determine an overall investor score for each investor in the plurality of investors, each overall investor score determined using at least one of a plurality of investor score determination methods based on a subset of the available normalized investor feature data, each overall investor score stored in the database;
• determine an overall deal score for each deal in the plurality of deals, each overall deal score determined using at least one of a plurality of deal score determination methods based on a subset of the available normalized deal feature data, each overall deal score stored in the database;
• and
• determine a plurality of recommended deals for each investor based on the overall investor scores and the overall deal scores;
• and
• send a notification message to each investor once the recommended deals have been determined for that investor.