A method and a system for recommending items in an online listing platform are provided. The method comprises: receiving, from an electronic device, a request for item recommendations triggered by the user having interacted with a given item of the online listing platform; identifying, in the plurality of items, based on the given item, a set of recommendable items; obtaining user data of the user; determining, based on the user data, for a given recommendable item, a respective value of a user-specific ranking parameter, which is indicative of a likelihood value of the user perceiving the given recommendable item as being of interest to the user; ranking the set of recommendable items according to respective values of the user-specific ranking parameter, thereby generating a ranked set of recommendable items; and selecting, from the ranked set of recommendable items, at least one recommendable for presentation thereof to the user.