Systems and methods handling mobile technology communications

A method for managing product recommendations for a user, the method comprising:

• receiving user data of a user of a product recommendation system;
• selecting a first style bucket for the user, the first style bucket being selected from a plurality of predefined style buckets;
• selecting, from a plurality of products, at least a first recommended product, the first recommended product being selected based on one or more tags associated with the first recommended product, wherein at least one of the one or more tags is associated with the first style bucket;
• adding the first recommended product to a recommendation queue of the user;
• generating an instruction to send a first recommendation message to the user, the recommendation message including at least one attribute of the first recommended product, wherein the first recommendation message is one of a simple messaging service (SMS) message or a multimedia messaging service (MMS) message;
• receiving a first textual review associated with a first reaction message indicating a first reaction of the user to the first recommendation message, wherein the first reaction message is one of a simple messaging service (SMS) message or a multimedia messaging service (MMS) message;
• selecting at least a second recommended product based at least in part on the first textual review;
• and
• adding the second recommended product to the recommendation queue of the user.

A method for managing product recommendations for a user, the method comprising:

• generating an instruction to send a first recommendation message to a user, the recommendation message including at least one recommended product for the user, wherein the first recommendation message is one of a simple messaging service (SMS) message or a multimedia messaging service (MMS) message;
• receiving a first textual review associated with a first reaction message indicating a first reaction of the user to the first recommendation message, wherein the first reaction message is one of a simple messaging service (SMS) message or a multimedia messaging service (MMS) message;
• adding the first textual review and product data of the at least one recommended product to a training data,
• training the behavior recommendation model based on the training data set, the behavior recommendation model being trained to predict a reaction of a user to a recommendation message based at least in part on attributes of a recommended product included in the recommendation message;
• determining an accuracy of the behavior recommendation model;
• when the accuracy of the behavior recommendation model exceeds a first accuracy threshold:
• generating, at the behavior recommendation model, a predicted reaction of the user to a second product;
• determining that the predicted reaction of the user to the second product meets an acceptance criteria;
• based on the determination that the predicted reaction of the user to the second product meet the acceptance criteria, generating an instruction to send a second recommendation message to a user, the second recommendation message including the second product, wherein the first recommendation message is one of a simple messaging service (SMS) message or a multimedia messaging service (MMS) message.