Methods and systems for client side search ranking improvements

A computing device comprising:

• a memory programmed with executable instructions;
• and
• a processing system coupled to the memory to execute the executable instructions and to receive a search query from a user on a client device;
• filter local search results based on the received search query and one or more local ranking rules;
• compute features for each filtered local search result;
• input the computed features of each filtered local search result to one or more machine learning (ML) models, each ML model generating a score for each filtered local search result;
• and
• rank the filtered local search results based on the generated score within a category.

A non-transitory machine-readable medium programmed with instructions that, when executed by a computing device, cause the computing device to perform operations comprising:

• receiving a search query from a user on a client device;
• filtering local search results based on the received search query and one or more local ranking rules;
• computing features for each filtered local search result;
• inputting the computed features of each filtered local search result to one or more machine learning (ML) models, each ML model generating a score for each filtered local search result;
• and
• ranking the filtered local search results based on the generated score within a category.