Automated scheme for identifying user intent in real-time
First Claim
Patent Images
1. A method of processing a current user query, comprising:
- training a model, said training comprising;
continuously logging previous user queries;
extracting a question from the continuously logged previous user queries;
analyzing the extracted question to obtain at least one feature;
assigning an intent to the extracted question; and
adding an entry to the model and mapping the obtained feature for the extracted question to the assigned intent for the extracted question in the added entry of the model;
receiving an initial portion of the current user query, wherein the initial portion includes a particular string of text;
guessing an intent associated with the initial portion of the current user query while a remainder of the current user query is being received, wherein said guessing using only the initial portion further comprises;
analyzing the initial portion to obtain at least one feature;
comparing, using a processing device, the obtained at least one feature of the initial portion to entries in the model;
selecting, using the processing device, at least one entry from the model based on the comparison; and
determining the intent for the initial portion of the current user query according to an intent included in the selected entry;
wherein the intent guess obtained for the initial portion according to said analyzing, said comparing, said selecting, and said determining, does not include any portion of the particular text string; and
responding to the initial portion of the current user query with the intent guess.
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Abstract
An intent guessing system receives partial user queries as they are entered by the user. The partial user queries are compared with different intents derived from previously logged queries. Guesses are made as to which of the intents are associated with the partial user query. The intent guesses are then provided as responses to the user query. Features are identified for the earlier logged queries and associated with the derived intents. The derived intents and associated features are then used to identify intents for the partial user queries.
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Citations
15 Claims
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1. A method of processing a current user query, comprising:
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training a model, said training comprising; continuously logging previous user queries; extracting a question from the continuously logged previous user queries; analyzing the extracted question to obtain at least one feature; assigning an intent to the extracted question; and adding an entry to the model and mapping the obtained feature for the extracted question to the assigned intent for the extracted question in the added entry of the model; receiving an initial portion of the current user query, wherein the initial portion includes a particular string of text; guessing an intent associated with the initial portion of the current user query while a remainder of the current user query is being received, wherein said guessing using only the initial portion further comprises; analyzing the initial portion to obtain at least one feature; comparing, using a processing device, the obtained at least one feature of the initial portion to entries in the model; selecting, using the processing device, at least one entry from the model based on the comparison; and determining the intent for the initial portion of the current user query according to an intent included in the selected entry; wherein the intent guess obtained for the initial portion according to said analyzing, said comparing, said selecting, and said determining, does not include any portion of the particular text string; and responding to the initial portion of the current user query with the intent guess. - View Dependent Claims (2, 3, 4, 5, 6)
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7. An article of manufacture including a computer-readable medium having instructions stored thereon that, in response to execution by a computing device, cause the computing device to perform operations comprising:
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receiving an initial portion of a current user query, wherein the initial portion includes a particular string of text; training a model, said training comprising; continuously logging previous user queries; extracting a question from the continuously logged previous user queries; analyzing the extracted question to obtain at least one feature; assigning an intent to the extracted question; and adding an entry in the model and mapping the obtained feature for the extracted question to the assigned intent for the extracted question in the added entry of the model; guessing an intent associated with the initial portion of the current user query while a remainder of the current user query is being received, wherein said guessing using only the initial portion further comprises; inputting the initial portion into a context generator to obtain at least one feature corresponding to the initial portion; analyzing the obtained feature of the initial portion according to the model, wherein the analysis includes comparing the obtained at least one feature of the initial portion to entries in the model; selecting, using the processing device, at least one entry from the model based on the comparison; and determining the intent for the initial portion of the current user query according to an intent included in the selected entry; wherein the intent guess obtained for the initial portion according to said analysis, said selecting, and said determining does not include any portion of the particular text string; and responding to the initial portion of the current user query with the intent guess. - View Dependent Claims (8, 9, 10, 11, 12)
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13. An apparatus, comprising:
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a processor; and a memory to store instructions that, when executed by the processor, are operable to; receive an initial portion of a current user query, wherein the initial portion includes a particular string of text; train a model, said training comprising; continuously logging previous user queries; extracting a question from the continuously logged previous user queries; analyzing the extracted question to obtain at least one feature; assigning an intent to the extracted question; and adding an entry to the model and mapping the obtained feature for the extracted question to the assigned intent for the extracted question in the added entry of the model; guess an intent associated with the initial portion of the current user query while a remainder of the current user query is being received, wherein the guess using only the initial portion includes the following operations; extracting at least one feature from the initial portion; comparing, using the processing device, the extracted at least one feature to entries from the model; selecting, using the processing device, at least one entry from the model based on the comparison; and determining the intent for the initial portion of the current user query according to an intent included in the selected entry; wherein the intent guess obtained for the initial portion according to said extracting, said comparing, said selecting, and said determining does not include any portion of the particular text string; and respond to the initial portion of the current user query with the intent guess. - View Dependent Claims (14, 15)
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Specification