METHOD AND APPARATUS FOR GENERATING A RECOMMENDED SET OF ITEMS

摘要

A method of generating a recommended subset of items for a user of an electronic device, the method being executed at a server, the method comprises: acquiring user events associated with a plurality of users, the user events comprising indications of user queries; for each of the user queries, generating a ranked predicted items list that comprises at least some items from a set of potentially recommendable items, such that each particular item within the ranked predicted items list has an associated rank; for each item within a plurality of ranked predicted items lists, generating, by the server, an item score based on a totality of ranks associated therewith; generating the recommended subset of items from the set of potentially recommendable items by selecting at least one item within the plurality of ranked predicted items lists as the recommended subset of items based on the item scores.

主权项

1. A method of generating a recommended subset of items for a user of an electronic device, the method being executed at a server, the method comprises:
acquiring, by the server, user events associated with a plurality of users, the user events comprising indications of user queries associated with the plurality of users; for each of the user queries, generating, by the server, a ranked predicted items list that comprises at least some items from a set of potentially recommendable items, such that each particular item within the ranked predicted items list has an associated rank; for each item within a plurality of ranked predicted items lists, generating, by the server, an item score based on a totality of ranks associated therewith; acquiring, by the server, a request for the recommended subset of items; and generating, by the server, the recommended subset of items from the set of potentially recommendable items, the generating the recommended subset of items comprises selecting, by the server, at least one item within the plurality of ranked predicted items lists as the recommended subset of items based on the item scores of the items within the plurality of ranked predicted items lists.