Processing Sets of Objects and Determining Satisfaction Levels Thereof

• US 20150356189A1
• Filed: 06/02/2015
• Published: 12/10/2015
• Est. Priority Date: 06/05/2014
• Status: Abandoned Application

• Current Assignee: Alibaba Group Holding Ltd.
• Original Assignee: Alibaba Group Holding Ltd.
• Inventors: Zhang, Rue, Zu, Zhonglin
• Application Number:
  US14/728,602
• Publication Number:
  US 20150356189A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 16/24578 using ranking
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation
• CPC Class Codes: G06Q 30/0282 Rating or review of business operators or products

Abstract

Methods and systems for processing sets of objects and determining satisfaction levels to the sets of objects. A computing device may rank multiple sets of objects based on an object satisfaction level of a user to an individual set of objects of the multiple sets of objects. The object satisfaction level may be obtained based on operation behavioral data of the user on the individual set of objects and operation behavioral data of the user on an object of the individual set of objects. The ranked sets of objects are consistent with historic operation behavior of the user to the multiple sets of objects. The implementations herein solve data exchange problems caused by repeated search operations and further decrease an amount of data exchange between a client terminal and the computing device, therefore reducing processing loads of the computing device.

Claims

1. A method of processing a plurality of sets of objects, the method comprising:

acquiring, by one or more processors of a computing device, the plurality of sets of objects, wherein the plurality of objects are associated with one or more keywords input by a user;

ranking, by the one or more processors, the plurality of sets of objects based on an object satisfaction level of the user to an individual set of objects of the plurality of sets of objects, the object satisfaction level obtained based at least on a first operation behavioral data of the user on the individual set of objects and a second operation behavioral data of the user on an object of the individual set of objects; and

providing, by the one or more processors, the ranked plurality of sets of objects.

2. The method of claim 1, further comprising:

acquiring a first candidate satisfaction level of the user to the individual set of objects based on the first operation behavioral data;

acquiring a second candidate satisfaction level of the user to the individual set of objects based on the second operation behavioral data and a mapping relationship between the plurality of sets of objects and a plurality of objects of the plurality of sets of objects; and

acquiring an object satisfaction level based on the first candidate satisfaction level and the second candidate satisfaction level.

3. The method of claim 2, wherein the acquiring the first candidate satisfaction level comprises:

acquiring preference feature information of the user to the individual set of objects based on the first operation behavioral data; and

acquiring the first candidate satisfaction level of the user to the individual set of objects based on attribute information of the individual set of objects and the preference feature information of the user to the individual set of objects.

4. The method of claim 2, wherein the acquiring the second candidate satisfaction level of the user to the individual set of objects based on the second operation behavioral data and the mapping relationship between the plurality of sets of objects and the plurality of objects of the plurality of sets of objects comprises:

determining at least one object of the individual set of objects based on the mapping relationship;

acquiring a reference satisfaction level of the user to an individual object of the individual set of objects based on the second operation behavioral data; and

acquiring the second candidate satisfaction level of the individual set of objects based on a plurality of reference satisfaction levels of the user to objects of the individual set of objects.

5. The method of claim 2, further comprising:

acquiring at least one of the first operation behavioral data, the mapping relationship, and the second operation behavioral data from cookie.

6. The method of claim 1, wherein the object of the individual set of objects comprises an item, the individual set of objects is a standardized product unit, and the standardized product unit includes a plurality of items that share at least a same attribute value.

7. The method of claim 6, wherein the item is a commodity.

8. A system for processing a plurality of sets of objects:

one or more processors; and

memory to maintain a plurality of components executable by the one or more processors, the plurality of components comprising;

an acquiring module configured to acquire the plurality of sets of objects, wherein the plurality of objects are associated with one or more keywords input by a user;

a ranking module configured to rank the plurality of sets of objects based on an object satisfaction level of the user to an individual set of objects of the plurality of sets of objects, the object satisfaction level obtained based at least on a first operation behavioral data of the user on the individual set of objects and a second operation behavioral data of the user on an object of the individual set of objects, and

an output module configured to provide the ranked plurality of sets of objects.

9. The system of claim 8, wherein the plurality of components further comprise a scoring module configured to:

acquire a first candidate satisfaction level of the user to the individual set of objects based on the first operation behavioral data;

acquire a second candidate satisfaction level of the user to the individual set of objects based on the second operation behavioral data and a mapping relationship between the plurality of sets of objects and a plurality of objects of the plurality of sets of objects; and

acquire an object satisfaction level based on the first candidate satisfaction level and the second candidate satisfaction level.

10. The system of claim 9, wherein the scoring module is configured to further:

acquire preference feature information of the user to the individual set of objects based on the first operation behavioral data; and

acquire the first candidate satisfaction level of the user to the individual set of objects based on attribute information of the individual set of objects and the preference feature information of the user to the individual set of objects.

11. The system of claim 9, wherein the scoring module is configured to further:

determine at least one object of the individual set of objects based on the mapping relationship;

acquire a reference satisfaction level of the user to an individual object of the individual set of objects based on the second operation behavioral data; and

acquire the second candidate satisfaction level of the individual set of objects based on a plurality of reference satisfaction levels of the user to objects of the individual set of objects.

12. The system of claim 9, wherein the scoring module is configured to further acquire at least one of the first operation behavioral data, the mapping relationship, and the second operation behavioral data from cookie.

13. The system of claim 8, wherein the object of the individual set of objects comprises an item, the individual set of objects is a standardized product unit, and the standardized product unit comprises a plurality of items that share at least a same attribute value.

14. The method of claim 13, wherein the item is a commodity.

15. A method for determining satisfaction levels of a plurality of sets of objects, the method comprising:

acquiring, by one or more processor of a computing device, a first candidate satisfaction level of a user to an individual set of objects of the plurality of sets of objects based on operation behavioral data of the user on the individual set of objects;

acquiring, by the one or more processor, a second candidate satisfaction level of the user to the individual set of objects based on operation behavioral data of the user on an object of the individual set of objects and a mapping relationship between the plurality of sets of objects and a plurality of objects of the plurality of sets of objects; and

acquiring, by the one or more processor, an object satisfaction level based on the first candidate satisfaction level and the second candidate satisfaction level.

16. The method of claim 15, wherein the acquiring the first candidate satisfaction level comprises:

acquiring preference feature information of the user to the individual set of objects based on the operation behavioral data of the user on the individual set of objects; and

acquiring the first candidate satisfaction level of the user to the individual set of objects based on attribute information of the individual set of objects and the preference feature information of the user to the individual set of objects.

17. The method of claim 15, wherein the acquiring the second candidate satisfaction level of the user to the individual set of objects based on the operation behavioral data of the user on the object of the individual set of objects and the mapping relationship between the plurality of sets of objects and the plurality of objects of the plurality of sets of objects comprises:

determining at least one object of the individual set of objects based on the mapping relationship;

acquiring a reference satisfaction level of the user to an individual object of the individual set of objects based on the operation behavioral data of the user on an object; and

acquiring the second candidate satisfaction level of the individual set of objects based on a plurality of reference satisfaction levels of the user to objects of the individual set of objects.

18. The method of claim 15, further comprising:

acquiring at least one of operation behavioral data of the user on the set of objects, the mapping relationship, or the operation behavioral data on an object from cookie information.

19. The method of claim 15, wherein the object of the individual set of objects comprises an item, the individual set of objects is a standardized product unit, and the standardized product unit comprises a plurality of items having an attribute value.

20. The method of claim 19, wherein the item is a commodity.