Techniques for automatically inferring intents of search queries

One or more non-transitory computer readable media including instructions that, when executed by one or more processors, cause the one or more processors to generate intent-informed responses to search queries by performing the steps of:

• computing a plurality of lexical similarity scores between a search query and a plurality of entities;
• computing a plurality of entity relevance scores based on the plurality of lexical similarity scores and a plurality of user engagement scores, wherein the plurality of user engagement scores is based on historical engagement data associated with both the search query and the plurality of entities;
• computing a first category relevance score associated with both the search query and a first category, wherein each entity included in the plurality of entities is assigned to a category, and the first category relevance score is computed based on a subset of the plurality of entity relevance scores corresponding to entities that are assigned to the first category;
• determining an intent associated with the search query based on the first category relevance score;
• and
• generating a response to the search query that includes a first message indicating that a first media title associated with the search query is not included in a first collection of media titles based on the intent and the first category relevance score.

A system, comprising:

• one or more memories storing instructions;
• and
• one or more processors coupled to the one or more memories that, when executing the instructions, generate intent-informed responses to search queries, by performing the steps of:
• computing a plurality of lexical similarity scores between a search query and a plurality of entities;
• computing a plurality of entity relevance scores based on the plurality of lexical similarity scores and a plurality of user engagement scores, wherein the plurality of user engagement scores is based on historical engagement data associated with both the search query and the plurality of entities;
• computing a first category relevance score associated with both the search query and a first category, wherein each entity included in the plurality of entities is assigned to a category, and the first category relevance score is computed based on a subset of the plurality of entity relevance scores corresponding to entities that are assigned to the first category;
• determining an intent associated with the search query based on the first category relevance score;
• and
• generating a response to the search query that includes a first message indicating that a first media title associated with the search query is not included in a first collection of media titles based on the intent and the first category relevance score.