US2014201035A1PendingUtilityA1
Using model information groups in searching
Est. expiryMay 18, 2030(~3.8 yrs left)· nominal 20-yr term from priority
Inventors:Wei Yuan
G06Q 30/06G06Q 30/0623G06F 16/951G06Q 30/0625
65
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Claims
Abstract
Managing user accesses is disclosed, including: determining a matching merchandise category based at least in part on a keyword associated with a query; retrieving a model information group corresponding to the matching merchandise category; extracting at least some attribute information from the model information group based at least in part on a quantity associated with an attribute; and presenting the extracted at least some attribute information from the model information group.
Claims
exact text as granted — not AI-modifiedWhat is claimed is:
1 . A system for conducting searches of attribute information, comprising:
one or more processors configured to:
determine a matching merchandise category based at least in part on a keyword associated with a query;
retrieve a model information group corresponding to the matching merchandise category;
extract at least some attribute information from the model information group based at least in part on a quantity associated with an attribute; and
present the extracted at least some attribute information from the model information group; and
one or more memories coupled to the one or more processors and configured to provide one or more processors with instructions.
2 . The system of claim 1 , wherein the one or more processors are further configured to is generate the model information group based at least in part on journal files, wherein a journal file includes merchandise information associated with an accessed webpage.
3 . The system of claim 1 , wherein the keyword comprises a first keyword and wherein the one or more processors are further configured to compare a second keyword associated with the query to the attribute information of the model information group.
4 . The system of claim 3 , wherein in the event that the second keyword matches a portion of the attribute information of the model information group, the one or more processors are further configured to include the matching portion of the attribute information in the extracted at least some attribute information.
5 . The system of claim 3 , wherein in the event that the second keyword does not match a portion of the attribute information of the model information group, the one or more processors are further configured to add the second keyword to the attribute information of the model information group.
6 . The system of claim 1 , wherein extracting the at least some attribute information from the model information group includes extracting attribute information whose corresponding quantity exceeds a predetermined threshold.
7 . The system of claim 1 , wherein extracting the at least some attribute information from the model information group includes extracting attribute information whose corresponding quantity is the greatest among a plurality of types associated with the attribute.
8 . The system of claim 1 , wherein presenting the at least some attribute information from the model information group includes returning one or more nodes of a merchandise information category tree corresponding to the extracted at least some attribute information.
9 . The system of claim 1 , wherein the attribute is associated with one or more types and each of the one or more types is associated with a corresponding quantity.
10 . A method for conducting searches of attribute information, comprising:
determining a matching merchandise category based at least in part on a keyword associated with a query; retrieving a model information group corresponding to the matching merchandise category; extracting, using one or more processors, at least some attribute information from the model information group based at least in part on a quantity associated with an attribute; and presenting the extracted at least some attribute information from the model information group.
11 . The method of claim 10 , further comprising generating the model information group based at least in part on journal files, wherein a journal file includes merchandise information associated with an accessed webpage.
12 . The method of claim 10 , wherein the keyword comprises a first keyword and further comprising comparing a second keyword associated with the query to the attribute information of the model information group.
13 . The method of claim 12 , wherein in the event that the second keyword matches a portion of the attribute information of the model information group, further comprising including the matching portion of the attribute information in the extracted at least some attribute information.
14 . The method of claim 12 , wherein in the event that the second keyword does not match a portion of the attribute information of the model information group, further comprising adding the second keyword to the attribute information of the model information group.
15 . The method of claim 10 , wherein extracting the at least some attribute information from the model information group includes extracting attribute information whose corresponding quantity exceeds a predetermined threshold.
16 . The method of claim 10 , wherein extracting the at least some attribute information from the model information group includes extracting attribute information whose corresponding quantity is the greatest among a plurality of types associated with the attribute.
17 . The method of claim 10 , wherein presenting the at least some attribute information from the model information group includes returning one or more nodes of a merchandise information category tree corresponding to the extracted at least some attribute information.
18 . The method of claim 10 , wherein the attribute is associated with one or more types and each of the one or more types is associated with a corresponding quantity.
19 . A computer program product for conducting searches of attribute information, the computer program product being embodied in a non-transitory computer readable storage medium and comprising computer instructions for:
determining a matching merchandise category based at least in part on a keyword associated with a query; retrieving a model information group corresponding to the matching merchandise category; extracting at least some attribute information from the model information group based at least in part on a quantity associated with an attribute; and presenting the extracted at least some attribute information from the model information group.Join the waitlist — get patent alerts
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