Patent ID: 8898283

Claim:
A method for recommending network object information to a user, comprising: determining, using a processor, for each of a plurality of network objects, a respective plurality of behavior frequencies by the user, each of the plurality of behavior frequencies corresponds to a number of times the user conducted a respective one of a plurality of behaviors on said each network object within a period of time, wherein the plurality of network objects is associated with a plurality of product categories; identifying one or more network objects among the plurality of network objects that are of interest to the user, the identification being based at least in part on the respective plurality of behavior frequencies that corresponds to each of the plurality of network objects, wherein identifying the one or more network objects includes: determining a degree of user preference for each of at least a subset of the plurality of network objects; selecting a first network object of the plurality of network objects based at least in part on a first ranking associated with a degree of user preference associated with the first network object, wherein the first network object comprises a first keyword associated with a category of the plurality of categories; selecting a second network object of the plurality of network objects based at least in part on a second ranking associated with a degree of user preference associated with the second network object, wherein the second network object comprises a second keyword associated with the category; and combining the first network object, the second network object, and the category into a combined network object, wherein the combined network object comprises a concatenation of the first keyword, the second keyword, and the category; and providing to the user recommended product information relating to the combined network object.