Generalized linear mixed models for improving search

A system comprising:

• at least one hardware processor;
• and
• a non-transitory machine-readable medium embodying a set of instructions that, when executed by the at least one hardware processor, cause the at least one processor to perform operations, the operations comprising:
• receiving a search query from a computing device of a user, the search query comprising at least one search term and being received in association with a user identification identifying the user,
• for each one of a plurality of candidates, extracting features from a corresponding profile of the candidate stored in a database of a social networking service;
• for each one of the plurality of candidates, generating a corresponding score based on a generalized linear mixed model comprising a query-based model and a user-based model, the query-based model being a generalized linear model based on a search for the at least one search term in the profile of the one of the plurality of candidates, and the user-based model being a random effects model based on a history of user actions by the user directed towards candidates having profiles with features matching the features of the corresponding profile of the one of the plurality of candidates and indications of whether the candidates to whom the user actions were directed responded to the user actions with at least one of one or more specified responses;
• selecting a subset of candidates from the plurality of candidates based on the corresponding scores of the subset of candidates;
• and
• causing the selected subset of candidates to be displayed on the computing device of the user in a search results page for the search query.

A non-transitory machine-readable medium embodying a set of instructions that, when executed by at least one hardware processor, cause the processor to perform operations, the operations comprising:

• receiving a search query from a computing device of a user, the search query comprising at least one search term and being received in association with a user identification identifying the user;
• for each one of a plurality of candidates, extracting features from a corresponding profile of the candidate stored in a database of a social networking service,
• for each one of the plurality of candidates, generating a corresponding score based on a generalized linear mixed model comprising a query-based model and a user-based model, the query-based model being a generalized linear model based on a search for the at least one search term in the profile of the one of the plurality of candidates, and the user-based model being a random effects model based on a history of user actions by the user directed towards candidates having profiles with features matching the features of the corresponding profile of the one of the plurality of candidates and indications of whether the candidates to whom the user actions were directed responded to the user actions with at least one of one or more specified responses,
• selecting a subset of candidates from the plurality of candidates based on the corresponding scores of the subset of candidates;
• and
• causing the selected subset of candidates to be displayed on the computing device of the user in a search results page for the search query.