Recommendation based remediation of data insufficiency

A patent management system for providing recommendations for remediating insufficiency of input data of a machine learning system, the patent management system comprising:

• at least one processor;
• and
• at least one memory coupled with the at least one processor, wherein the at least one processor and the at least one memory having instructions are configured to:
• receive an input data context from a user input;
• generate an input vector based on the input data context;
• generate a plurality of data vectors using data extracted from a plurality of data sources, wherein each of the plurality of data vectors comprise a plurality of data elements corresponding to a plurality of dimensions, wherein each of the plurality of dimensions is a property associated with a domain to which the plurality of data vectors belong;
• generate a set of matching data vectors from among the plurality of data vectors based on the input vector;
• determine a number of the data vectors included in the set of matching data vectors and a variance from among the plurality of data vectors included in the set of matching data vectors;
• identify a first pre-determined threshold and a second pre-determined threshold with respect to the set of matching data vectors;
• determine whether the data vectors captured in the set of matching data vectors is thin data or thick data with respect to the input data context based on determining at least one of:
• the number of matching data vectors being less than the first pre-determined threshold, or
• the variance being less than the second pre-determined threshold;
• based on the determination that the set of matching data vectors is the thin data, determining the plurality of dimensions for expansion of the set of matching data vectors based on data insufficiency remediation rules;
• provide a plurality of recommendations to a user for the expansion according to the data insufficiency remediation rules;
• select at least one of the plurality of recommendations according to the data insufficiency remediation rules based on the user input;
• generate a modified input vector based on the selected at least one of the plurality of recommendations;
• and
• generate an expanded set of matching data vectors based on the modified input vector,
• wherein the input vector is modified by modifying a subset of the plurality of data elements in at least one of the plurality of dimensions.

A patent management system for providing recommendations for remediating insufficiency of input data for a machine learning system, the patent management system comprising:

• a vector processing server is configured to:
• generate a plurality of data vectors using data extracted from a plurality of data sources, wherein each of the plurality of data vectors comprise a plurality of data elements corresponding to a plurality of dimensions, wherein each of the plurality of dimensions is a property associated with a domain to which the plurality of data vectors belong;
• and
• a thin data processing server configured to:
• receive an input data context from a user input;
• generate an input vector based on the input data context;
• generate a set of matching data vectors from among the plurality of data vectors based on the input vector;
• determine a number of the data vectors included in the set of matching data vectors and a variance from among the plurality of data vectors included in the set of matching data vectors;
• identify a first pre-determined threshold and a second pre-determined threshold with respect to the set of matching data vectors;
• determine whether the data vectors captured in the set of matching data vectors is thin data or thick data with respect to the input data context based on determining at least one of:
• the number of matching data vectors being less than the first pre-determined threshold, or
• the variance being less than the second pre-determined threshold;
• based on the determination that the set of matching data vectors is the thin data, determining the plurality of dimensions for expansion of the set of matching data vectors based on data insufficiency remediation rules;
• provide a plurality of recommendations to a user for the expansion according to the data insufficiency remediation rules;
• select at least one of the plurality of recommendations according to the data insufficiency remediation rules based on the user input;
• generate a modified input vector based on the selected at least one of the plurality of recommendations;
• and
• generate an expanded set of matching data vectors based on the modified input vector, wherein the input vector is modified by modifying a subset of the plurality of data elements in at least one of the plurality of dimensions.