Probabilistic search biasing and recommendations

A system, comprising:

• a memory;
• and
• at least one processor coupled to the memory, the at least one processor configured to:
• generate a database query based on an input relating to an identified item;
• receive a response to the database query, wherein the response comprises a plurality of comparable items, wherein the plurality of comparable items have been determined to be similar to the identified item based on at least one element of textual or non-textual descriptive data corresponding both to the identified item and to the plurality of comparable items, wherein the response further comprises corresponding metadata for the plurality of comparable items, including a plurality of values corresponding to the plurality of comparable items and a type of market platform corresponding to each of the plurality of comparable items, and wherein the plurality of values are normalized for differences in the corresponding metadata due to differences in the type of market platform corresponding to each of the plurality of comparable items;
• generate a probability score for at least two values of a range of values of the normalized plurality of values, based at least on a statistical analysis of the corresponding metadata for the plurality of comparable items;
• modify a search ranking of the identified item, based on availability of application program interfaces (APIs) by which the identified item can be searched;
• and
• output at least a suggested value based on at least the generating the probability score for the at least two values of the range of values, together with a prompt for further input.

A non-transitory computer-readable storage medium having instructions stored thereon that, when executed by at least one computing device, cause the at least one computing device to perform operations comprising:

• generating a database query based on an input relating to an identified item;
• receiving a response to the database query, wherein the response comprises a plurality of comparable items, wherein the plurality of comparable items have been determined to be similar to the identified item based on at least one element of textual or non-textual descriptive data corresponding both to the identified item and to the plurality of comparable items, wherein the response further comprises corresponding metadata for the plurality of comparable items, including a plurality of values corresponding to the plurality of comparable items and a type of market platform corresponding to each of the plurality of comparable items, and wherein the plurality of values are normalized for differences in the corresponding metadata due to differences in the type of market platform corresponding to each of the plurality of comparable items;
• generating a probability score for at least two values of a range of values of the normalized plurality of values, based at least on a statistical analysis of the corresponding metadata for the plurality of comparable items;
• modifying a search ranking of the identified item, based on availability of application program interfaces (APIs) by which the identified item can be searched;
• and
• outputting at least a suggested value based on at least the generating the probability score for the at least two values of the range of values, together with a prompt for further input.