Systems and methods for computer generated recommendations with improved accuracy and relevance

A system for providing recommendations with improved accuracy, the system comprising:

• first logic stored in a memory and executable by a processor coupled therewith to cause the processor to obtain, for each target user of a set of target users, one or more demographic data items, from a demographic database coupled with the processor, each of the one or more demographic data items comprising data indicative of specific values of one or more statistical characteristics descriptive of the target user;
• second logic stored in the memory and executable by the processor to cause the processor to define a set of demographic categories, each defined based on a unique combination of one of more of the one or more statistical characteristics, and automatically assign each target user of the set of target users to one or more of the demographic categories of the set of demographic categories based on the specific values of the one or more statistical characteristics descriptive thereof, wherein target users having similar values of the one or more statistical characteristics are assigned to the same common demographic categories;
• wherein the first and second logic are further executable by the processor to cause the processor to store, in the memory, data indicative of each of the set of demographic categories and the target users assigned thereto;
• third logic stored in the memory and executable by the processor to cause the processor to identify, using a social media extracted segmentation process, a representative population of users and for each user in the representative population, obtain descriptive data, from a social media database coupled with the processor, indicative of the user's engagement with one or more of a target set of brands of goods and/or services;
• fourth logic stored in the memory and executable by the processor to cause the processor to compile, for each target brand of the set of target brands, a brand affinity fingerprint comprising a set of one or more words and/or phrases present in the identified descriptive data indicative of each user of the population's engagement with the target brand, automatically expand, using natural language processing, the set of one or more words and/or phrases present in the identified descriptive data indicative of each user of the population's engagement with the target brand by identifying, and adding thereto, one or more synonyms of each of the set of one or more words and/or phrases, and store the expanded compiled set of one or more words and/or phrases in a portion of a first data structure in the memory, the brand affinity fingerprints enabling the provision of recommendations by the processor with a minimal historical dataset;
• fifth logic stored in the memory and executable by the processor to cause the processor to assign each stored compiled set of one or more words and/or phrases to, and store data indicative thereof in association with, one or more of the demographic categories stored in the memory based on a relationship between one or more of the defining statistical characteristics thereof and the target brand of the compiled set of one or more words and/or phrases;
• sixth logic stored in the memory and executable by the processor to cause the processor to define a set of recommendation objects, each associated with a recommendation and characterized by a recommendation affinity fingerprint comprising a description which includes a set of descriptive words and/or phrases, and store, in the memory, data indicative of the recommendation in association with data indicative of the set of words and/or phrases characteristic thereof;
• seventh logic stored in the memory and executable by the processor to cause the processor to determine a score indicative of a degree of overlap of the stored set of descriptive words and/or phrases of each recommendation with each of the stored compiled sets of words and/or phrases;
• and
• eighth logic stored in the memory and executable by the processor to cause the processor to cause, for each stored set of descriptive words and/or phrases with a score which exceeds a threshold amount, the recommendation associated therewith to be provided to each of the target users assigned in the memory to the demographic categories to which the at least one of the stored compiled sets of words and/or phrases is also assigned, the processor being further operative to cause the recommendation to be presented electronically on a display of at least one mobile device wirelessly coupled with the processor;
• and
• ninth logic stored in the memory and executable by the processor to cause the processor to automatically redefine the set of demographic categories based on a result of the provided recommendation and reassign one or more target users of the set of target users to a different one or more of the demographic categories of the set of demographic categories based on the specific values of the one or more statistical characteristics descriptive thereof and the result of the provided recommendation.

A system for providing computer-based recommendations with improved accuracy, the system comprising:

• means for obtaining, for each target user of a set of target users, one or more demographic data items, from a demographic database coupled with the processor, each of the one or more demographic data items comprising data indicative of specific values of one or more statistical characteristics descriptive of the target user;
• means for defining a set of demographic categories, each defined based on a unique combination of one of more of the one or more statistical characteristics, and automatically assigning each target user of the set of target users to one or more of the demographic categories of the set of demographic categories based on the specific values of the one or more statistical characteristics descriptive thereof, wherein target users having similar values of the one or more statistical characteristics are assigned to the same common demographic categories;
• means for storing, in a memory, data indicative of each of the set of demographic categories and the target users assigned thereto;
• means for identifying, using a social media extracted segmentation process, a representative population of users and for each user in the representative population, obtaining descriptive data, from a social media database coupled with the processor, indicative of the user's engagement with one or more of a target set of brands of goods and/or services;
• means for compiling, for each target brand of the set of target brands, a brand affinity fingerprint comprising a set of one or more words and/or phrases present in the identified descriptive data indicative of each user of the population's engagement with the target brand, expanding, automatically, using natural language processing, the set of one or more words and/or phrases present in the identified descriptive data indicative of each user of the population's engagement with the target brand by identifying, and adding thereto, one or more synonyms of each of the set of one or more words and/or phrases, and storing the expanded compiled set of one or more words and/or phrases in a portion of a first data structure in the memory, the brand affinity fingerprints enabling the provision of recommendations with a minimal historical dataset;
• means for assigning each compiled set of one or more words and/or phrases to, and storing data indicative thereof in association with, one or more of the demographic categories stored in the memory based on a relationship between one or more of the defining statistical characteristics thereof and the target brand of the compiled set of one or more words and/or phrases;
• means for defining a set of recommendation objects, each characterized by an associated recommendation and a recommendation affinity fingerprint comprising a description which includes a set of descriptive words and/or phrases, and storing, in the memory, data indicative of the recommendation in association with data indicative of the set of words and/or phrases characteristic thereof;
• means for determining a score indicative of a degree of overlap of the stored set of descriptive words and/or phrases of each recommendation with each of the stored compiled sets of words and/or phrases;
• and
• means for causing, for each stored set of descriptive words and/or phrases with a score which exceeds a threshold amount, the recommendation associated therewith to be provided to each of the target users assigned in the memory to the demographic categories to which the at least one of the stored compiled sets of words and/or phrases is also assigned, the means for causing further comprising means for presenting the recommendation electronically on a display of at least one mobile device;
• and
• means for redefining, automatically, the set of demographic categories based on a result of the provided recommendation and reassigning one or more target users of the set of target users to a different one or more of the demographic categories of the set of demographic categories based on the specific values of the one or more statistical characteristics descriptive thereof and the result of the provided recommendation.