USER QUERY HISTORY EXPANSION FOR IMPROVING LANGUAGE MODEL ADAPTATION
First Claim
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1. A computer-implemented method comprising:
- receiving a spoken query from a user;
applying an adapted language model to process the spoken query, wherein the adapted language model processes data associated with the spoken query using a set of previous queries of the and previous query data of a plurality of other users that share at least one common characteristic with the set of previous queries of the user, wherein the common characteristic is selected uniform resource locator data included in the set of previous queries of the user and included in the previous query data of the plurality of other users; and
modifying the data associated with the spoken query based on the applying of the adapted language model.
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Abstract
Query history expansion may be provided. Upon receiving a spoken query from a user, an adapted language model may be applied to convert the spoken query to text. The adapted language model may comprise a plurality of queries interpolated from the user'"'"'s previous queries and queries associated with other users. The spoken query may be executed and the results of the spoken query may be provided to the user.
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Citations
20 Claims
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1. A computer-implemented method comprising:
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receiving a spoken query from a user; applying an adapted language model to process the spoken query, wherein the adapted language model processes data associated with the spoken query using a set of previous queries of the and previous query data of a plurality of other users that share at least one common characteristic with the set of previous queries of the user, wherein the common characteristic is selected uniform resource locator data included in the set of previous queries of the user and included in the previous query data of the plurality of other users; and modifying the data associated with the spoken query based on the applying of the adapted language model. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8)
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9. A system comprising:
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at least one processor; and a memory operatively connected with the processor storing instructions, that when executed on the processor causing the processor to execute operations that comprise; creating an adapted language model to process queries received from a user, wherein the adapted language model expands a set of previous queries of the user by interpolating previous query data of a plurality of other users that share at least one common characteristic with the user, wherein the common characteristic is selected uniform resource locator data included in the set of previous queries of the user and included in the previous query data of the plurality of other users, and processing data associated with the spoken query by applying the created adapted language model to the data associated with the spoken query. - View Dependent Claims (10, 11, 12, 13, 14, 15)
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16. A computer-readable storage medium which stores a set of instructions which when executed on at least one processor, the processor performs a method comprising:
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receiving a spoken query from a user; and applying an adapted language model to convert the spoken query to text, wherein the adapted language model expands a set of previous queries of the user to be applied to covert the spoken query by incorporating previous query data of a plurality of other users that share at least one common characteristic with the set of previous queries of the user, wherein the common characteristic is selected uniform resource locator data included in the set of previous queries of the user and included in the previous query data of the plurality of other users. - View Dependent Claims (17, 18, 19, 20)
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Specification