Digital posting match recommendation apparatus and method
An apparatus for digital posting match recommendation and corresponding methods are provided. Apparatus may include a computing device, which may be configured to determine a record recommendation for the user based on a posting datum of a job position and user datum of a user. The computing device may be further configured to provide an interaction preparation related to job position to coach and assist a user in preparing for a real interview process with a potential employer.
1. A method for posting match recommendation, the method comprising:
receiving, by a processor, a posting datum of a posting;
receiving, by the processor, a user datum from a user;
retrieving, by the processor, a plurality of user records from an immutable sequential listing, wherein:
the immutable sequence listing includes a plurality of resume data of the user and a plurality of cryptographically secured sub-listings such that each of the plurality of cryptographically secured sub-listings is linked to a previous sub-listing in chronological order; and
the processor is configured to verify content posted in the immutable sequential listing when the processor traverses the plurality of cryptographically secured sub-listings in reverse chronological order;
determining, by the processor, a record recommendation as a function of the posting datum, the user datum, and the plurality of user records, wherein determining the record recommendation further comprises:
training a machine-learning model using training data, wherein the training data correlates user data to posting data; and
generating, using the trained machine-learning model, the record recommendation, wherein at least a portion of the plurality of resume data is provided to the trained machine-learning as an input to output the record recommendation;
providing, by the processor, an interaction preparation as a function of the record recommendation; and
displaying, at a display communicatively connected to the processor, the record recommendation or the interaction preparation to the user.
2. The method of claim 1 , wherein the user datum comprises a draft resume.
3. The method of claim 1 , wherein determining the record recommendation comprises generating a compatibility score between the user and the posting.
4. The method of claim 1 , wherein the posting datum comprises information related to the posting inputted by the user.
5. The method of claim 1 , wherein the user datum comprises information inputted into a graphic user interface of the processor by the user.
6. The method of claim 1 , wherein the user datum compromises information from a previously presented record.
7. The method of claim 1 , wherein the method further comprises storing, by a memory component communicatively connected to the processor, the posting datum.
8. The method of claim 1 , wherein the record recommendation comprises a suggested alteration of a record of the user.
9. The method of claim 1 , wherein displaying the interaction preparation comprises displaying the interaction preparation using a graphic user interface.
10. The method of claim 1 , wherein the interaction preparation comprises an interactive interview.
11. The method of claim 1 , wherein generating the record recommendation further comprises comparing a target video resume and at least an existing video resume of the user.
12. A digital posting match recommendation apparatus, the apparatus comprising:
at least a processor; and
a memory communicatively connected to the at least a processor, the memory containing instructions configuring the at least a processor to:
receive a posting datum of a posting;
receive a user datum from a user;
retrieve a plurality of user records from an immutable sequential listing, wherein:
the immutable sequence listing includes a plurality of resume data of the user and a plurality of cryptographically secured sub-listings such that each of the plurality of cryptographically secured sub-listings is linked to a previous sub-listing in chronological order; and
the processor is configured to verify content posted in the immutable sequential listing when the processor traverses the plurality of cryptographically secured sub-listings in reverse chronological order;
determine a record recommendation as a function of the posting datum, the user datum, and the plurality of user records, wherein determining the record recommendation further comprises:
training a machine-learning model using training data, wherein the training data correlates user data to posting data; and
generating, using the trained machine-learning model, the record recommendation, wherein at least a portion of the plurality of resume data is provided to the trained machine-learning as an input to output the record recommendation;
provide an interaction preparation as a function of the record recommendation; and
display, at a display communicatively connected to the at least a processor, the interaction preparation or record recommendation to the user.
13. The apparatus of claim 12 , wherein the posting datum comprises information from a job posting of a jobseeker.
14. The apparatus of claim 12 , wherein the user datum comprises information inputted into a graphic user interface by the user.
15. The apparatus of claim 12 , wherein the user datum compromises information from a user record.
16. The apparatus of claim 12 , further comprising a memory component that is communicatively connected to the processor and configured to store the posting datum.
17. The apparatus of claim 12 , wherein the record recommendation comprises a suggested alteration of a previously prepared record of the user.
18. The apparatus of claim 12 , wherein determining the record recommendation comprises generating a customized record.
19. The apparatus of claim 12 , wherein the interaction preparation comprises an interactive interview.
20. The apparatus of claim 12 , wherein generating the record recommendation further comprises comparing a target video resume and at least an existing video resume of the user.