Abstract: A computer-implemented method and system for generating a compound suggestion to a user of a suggestion platform application, based on a range of locality and contextual factors. The method comprises selecting an applicable set of suggestion templates based at least partly on a determined location of the client device at which a suggestion application platform is accessed via the user interface; applying a plurality of eligibility models to generate a set of suggestions for each suggestion template of the set of suggestion templates selected; scoring the plurality of entities to determine a subset of best fit entities; compiling at least one compound suggestion by filling each suggestion template of the set of suggestion templates with the subset of best fit entities; ranking the respective compound suggestions associated with the plurality of suggestion templates; and presenting, at the user interface of the client device, at least a subset of the ranked compound suggestions.

Abstract: A computer-implemented method and system for autonomously suggesting an activity to a user of a locality platform application, based on a range of locality factors. The method comprises accessing a locality platform application at the user interface of the client device, determining a location of the client device, computing at least one influencer factor based on the determined location, compiling at least one suggestion for the locality-related activity, the compiled suggestion at least partly based on the at least one influencer factor, and providing, at the user interface of the client device, the at least one suggestion.