Allowing users to control recommendations from a recommendation system based on explanation vectors

A computer-readable medium storing instructions that, when executed, cause:

• receiving a search query;
• accessing, based on the search query, a plurality of content objects associated with a system;
• determine, based on the plurality of content objects, a plurality of explanation vectors, wherein the plurality of explanation vectors corresponds to at least one content object of the plurality of content objects;
• determine a similarity score between a first object associated with the plurality of content objects and a second object of the plurality of content objects, wherein the similarity score is determined based at least in part on a first explanation vector corresponding to the first object and a second explanation vector corresponding to the second object;
• and
• transmit, based on the similarity score, a response comprising the second object to the search query.

A device comprising:

• one or more processors;
• and
• a non-transitory memory including computer-executable instructions, which when executed by the processor, cause the device to at least:
• receive a search query;
• access, based on the search query, a plurality of content objects associated with a system;
• determine, based on the plurality of content objects, a plurality of explanation vectors, wherein the plurality of explanation vectors corresponds to at least one content object of the plurality of content objects;
• determine a similarity score between a first object associated with the plurality of content objects and a second object associated with the plurality of content objects, wherein the similarity score is determined based at least in part on a first explanation vector corresponding to the first object and a second explanation vector corresponding to the second object;
• and
• transmit, based on the similarity score, a response comprising the second object to the search query.