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US 8,898,283 B2Granted
Recommendation of network object information to user
AssigneeAlibaba Group Holding Limited
InventorsJinyin Zhang, Zhixiong Yang, Xinyu Peng
Life of this patent
Estimating the term…
Abstract
Recommending network object information to a user includes, for each of a plurality of network objects, a respective plurality of behavior frequencies by the user is determined; a network object among the plurality of network objects that is of interest to the user is identified, 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; and additional information relating to the identified network object is provided to the user.
Claims20
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.
6 more elements
A system for recommending network object information to a user, comprising:
- one or more processors configured to:
- determine, 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;
- identify 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
- provide to the user recommended product information relating to the combined network object;
- and
- one or more memories coupled to the one or more processors, configured to provide the one or more processors with instructions.
9 more elements
Dependencies are inferred from the claim text.