Method and System for Automatic Retrieval of Relevant Data
The present disclosure provides a computer-implemented method for automatic data retrieval. The method comprises detecting an intent of a first user to initiate a communication with a second user; requesting the first user to provide a purpose of the communication; in response to receiving the purpose from the first user, analyzing records of prior communications between the first user and the second user; providing a subset of the records of prior communications concerning the purpose.
1 . A computer-implemented method for automatic data retrieval comprising:
detecting an intent of a first user to initiate a communication with a second user;
requesting the first user to provide a purpose of the communication;
in response to receiving the purpose from the first user, analyzing records of prior communications between the first user and the second user;
providing a subset of the records of prior communications concerning the purpose.
2 . The computer-implemented method of claim 1 , wherein detecting the intent of the first user to initiate the communication with the second user is based on a search request by a first user in a chat with the second user.
3 . The computer-implemented method of claim 1 , wherein the analyzing the records of the prior communications further comprises: calculating, using a machine learning model, a matching score for each subset of the records of the prior communications with regard to the purpose.
4 . The computer-implemented method of claim 3 , wherein the providing the subset of the records of the prior communications concerning the purpose further comprises providing the subset of the record with the highest matching score.
5 . The computer-implemented method of claim 3 , wherein the providing the subset of the records of the prior communications concerning the purpose further comprises providing the subsets of the records with the matching score above a threshold.
6 . The computer-implemented method of claim 5 , wherein the method further comprising:
in response to detecting that the matching score of subsets of the records of the prior communications is lower than the threshold, initiating the communication.
7 . The computer-implemented method of claim 1 , wherein the intent includes inputting a phone number or selecting a contact in a contact list.
8 . A non-transitory, computer-readable medium storing a set of instructions that, when executed by a processor, cause:
detecting an intent of a first user to initiate a communication with a second user;
requesting the first user to provide a purpose of the communication;
in response to receiving the purpose from the first user, analyzing records of prior communications between the first user and the second user;
providing a subset of the records of prior communications concerning the purpose.
9 . The non-transitory, computer-readable medium of claim 8 , wherein detecting the intent of the first user to initiate the communication with the second user is based on a search request by a first user in a chat with the second user.
10 . The non-transitory, computer-readable medium of claim 8 , wherein the analyzing the records of the prior communications further comprises: calculating, using a machine learning model, a matching score for each subset of the records of the prior communications with regard to the purpose.
11 . The non-transitory, computer-readable medium of claim 10 , wherein the providing the subset of the records of the prior communications concerning the purpose further comprises providing the subset of the record with the highest matching score.
12 . The non-transitory, computer-readable medium of claim 10 , wherein the providing the subset of the records of the prior communications concerning the purpose further comprises providing the subsets of the records with the matching score above a threshold.
13 . The non-transitory, computer-readable medium of claim 12 , wherein the set of instructions further comprises:
in response to detecting that the matching score of subsets of the records of the prior communications is lower than the threshold, initiating the communication.
14 . The non-transitory, computer-readable medium of claim 8 , wherein the intent includes inputting a phone number or selecting a contact in a contact list.
15 . A system for automatic data retrieval, the system comprising:
a processor;
a memory operatively connected to the processor and storing a set of instructions that, when executed by the processor, cause:
detecting an intent of a first user to initiate a communication with a second user;
requesting the first user to provide a purpose of the communication;
in response to receiving the purpose from the first user, analyzing records of prior communications between the first user and the second user;
providing a subset of the records of prior communications concerning the purpose.
16 . The system of claim 14 , wherein detecting the intent of the first user to initiate the communication with the second user is based on a search request by a first user in a chat with the second user.
17 . The system of claim 14 , wherein the analyzing the records of the prior communications further comprises: calculating, using a machine learning model, a matching score for each subset of the records of the prior communications with regard to the purpose.
18 . The system of claim 17 , wherein the providing the subset of the records of the prior communications concerning the purpose further comprises providing the subset of the record with the highest matching score.
19 . The system of claim 17 , wherein the providing the subset of the records of the prior communications concerning the purpose further comprises providing the subsets of the records with the matching score above a threshold.
20 . The system of claim 17 , wherein the set of instructions further comprises:
in response to detecting that the matching score of subsets of the records of the prior communications is lower than the threshold, initiating the communication.