GENERALIZED GRAPH, RULE, AND SPATIAL STRUCTURE BASED RECOMMENDATION ENGINE

摘要

One embodiment of the present invention provides a recommendation system. During operation, the system receives context information associated with the user, updates a plurality of user models based on the received context information, and identifies at least one spatial data structure that stores a plurality of items. A respective item is stored within the spatial data structure based on a vector value associated with the item. The system then queries the spatial data structure to obtain a first set of recommendable items that have vector values within a predetermined range, calculates a score for each item within the set of recommendable items based on the plurality of the user models and a characterization vector associated with each item, ranks the items within the set of recommendable items based on calculated scores, and recommends one or more top-ranked items to the user.

主权项

1. A method for providing a recommendation to a user, comprising:
receiving context information associated with the user; updating a plurality of user models based on the received context information; identifying a spatial data structure that stores a plurality of items, wherein the spatial data structure corresponds to a vector space, and wherein a respective item is stored within the spatial data structure based on a vector value associated with the item; querying the spatial data structure to obtain a first set of recommendable items that have vector values within a predetermined range; calculating a score for each item within the set of recommendable items based on the plurality of the user models and a characterization vector associated with each item; ranking the items within the set of recommendable items based on calculated scores; and recommending one or more top-ranked items to the user.