Utterance recommendation in a conversational artificial intelligence platform

A method comprising:

• obtaining, by the processor, a plurality of utterance influencing attributes influencing a response recommended for a user query from a plurality of sources;
• collating, by the processor, the plurality of utterance influencing attributes to provide enriched user data;
• identifying, by the processor, a set of preconfigured potential utterance options associated with the user query;
• implementing, by the processor, a plurality of utterance recommendation techniques to analyze the enriched user data;
• analyzing, by the processor, the enriched data based on predefined rules associated with an utterance recommendation technique;
• providing, by the processor, based on the analysis, a preferential rank ordering of the preconfigured potential utterance options to be recommended;
• receiving, by the processor, a plurality of preferential rank orderings of the preconfigured potential utterance options, the plurality of preferential rank orderings including the preferential rank ordering of the preconfigured potential utterance options provided by each of the plurality of the utterance recommendation techniques;
• determining, by the processor, a single optimized rank ordering of the preconfigured potential utterance options with a minimum final disagreement among the plurality of preferential rank orderings, the single optimized rank ordering representing a ranking order of the preconfigured potential utterance options;
• and
• providing, by the processor, the response to the user query, based on a potential utterance option ranked highest in the single optimized rank ordering.

A non-transitory computer readable medium including machine readable instructions that are executable by a processor to:

• obtain a plurality of utterance influencing attributes influencing a response recommended for a user query from a plurality of sources;
• collate the plurality of utterance influencing attributes to provide enriched user data;
• identify a set of preconfigured potential utterance options associated with the user query;
• implement a plurality of utterance recommendation techniques to analyze the enriched user data;
• analyze the enriched data based on predefined rules associated with an utterance recommendation technique;
• provide based on the analysis, a preferential rank ordering of the preconfigured potential utterance options to be recommended;
• receive a plurality of preferential rank orderings of the preconfigured potential utterance options, the plurality of preferential rank orderings including the preferential rank ordering of the preconfigured potential utterance options provided by each of the plurality of the utterance recommendation techniques;
• determine single optimized rank ordering of the preconfigured potential utterance options with a minimum final disagreement among the plurality of preferential rank orderings, the single optimized rank ordering representing a ranking order of the preconfigured potential utterance options;
• and
• provide the response to the user query, based on a potential utterance option ranked highest in the single optimized rank ordering.