SYSTEMS AND METHODS FOR CAREER INFORMATION PROCESSING
Systems and methods for consolidating, preparing, and distributing job information as well as applicant responses are provided. Some embodiments consolidate social profile information to facilitate job applications with minimal candidate involvement. Some embodiments provide systems and methods for assessing an employer's recruitment effectiveness via website analysis. Some embodiments distribute job notifications via participating recruiter social networks. Some embodiments consolidate job information into an accessible “job card” format, facilitating quick assessment by a candidate.
1 . A computer-implemented method for distributing job information comprising:
receiving a plurality of job descriptions;
determining a subset of the plurality of job descriptions by applying at least one filter, the at least one filter associated with at least one social network associated with a user; and
distributing the subset of the plurality of job descriptions to a subset of members of the at least one social network.
2 . The computer-implemented method of claim 1 , wherein the filter is directed to a technical specialty or to a geographic region.
3 . The computer-implemented method of claim 1 , further comprising generating the at least one filter based upon the social profiles of the subset of members of the at least one social network.
4 . The computer-implemented method of claim 3 , wherein generating the at least one filter based upon the social profiles of the subset of members of the at least one social network comprises selecting members of the user's social network based upon the occupation information in their social profile.
5 . The computer-implemented method of claim 1 , wherein the job descriptions comprise a geographic region, salary information, and position description information.
6 . The computer-implemented method of claim 1 , further comprising determining the subset of members of the at least one social network based on a category associated with the subset of members.
7 . The computer-implemented method of claim 6 , further comprising determining the category based on one or more of job applications submitted by the subset of members, webpages visited by the subset of members, or social profile information of the subset of members.
8 . The computer-implemented method of claim 1 , wherein distributing the subset of the plurality of job descriptions to a subset of members of the at least one social network comprises:
determining a timezone associated with the user;
determining a distribution time based upon historical network traffic patterns; and
distributing the subset of the plurality of job descriptions based on the distribution time.
9 . A non-transitory computer-readable medium comprising instructions configured to cause one or more computer systems to perform a method comprising:
receiving a plurality of job descriptions;
determining a subset of the plurality of job descriptions by applying at least one filter, the at least one filter associated with at least one social network associated with a user; and
distributing the subset of the plurality of job descriptions to a subset of members of the at least one social network.
10 . The non-transitory computer-readable medium of claim 9 , wherein the filter is directed to a technical specialty or to a geographic region.
11 . The non-transitory computer-readable medium of claim 9 , wherein the job descriptions comprise a geographic region, salary information, and position description information.
12 . The non-transitory computer-readable medium of claim 9 , further comprising determining the subset of members of the at least one social network based on a category associated with the subset of members.
13 . The non-transitory computer-readable medium of claim 12 , further comprising determining the category based on one or more of job applications submitted by the subset of members, webpages visited by the subset of members, or social profile information of the subset of members.
14 . The non-transitory computer-readable medium of claim 9 , wherein distributing the subset of the plurality of job descriptions to a subset of members of the at least one social network comprises:
determining a timezone associated with the user;
determining a distribution time based upon historical network traffic patterns; and
distributing the subset of the plurality of job descriptions based on the distribution time.
15 . A computer system comprising:
at least one processor;
at least one memory comprising instructions configured to cause the at least one processor to perform a method comprising:
receiving a plurality of job descriptions;
determining a subset of the plurality of job descriptions by applying at least one filter, the at least one filter associated with at least one social network associated with a user; and
distributing the subset of the plurality of job descriptions to a subset of members of the at least one social network.
16 . The computer system of claim 15 , wherein the filter is directed to a technical specialty or to a geographic region.
17 . The computer system of claim 15 , wherein the job descriptions comprise a geographic region, salary information, and position description information.
18 . The computer system of claim 15 , further comprising determining the subset of members of the at least one social network based on a category associated with the subset of members.
19 . The computer system of claim 18 , further comprising determining the category based on one or more of job applications submitted by the subset of members, webpages visited by the subset of members, or social profile information of the subset of members.
20 . The computer system of claim 15 , wherein distributing the subset of the plurality of job descriptions to a subset of members of the at least one social network comprises:
determining a timezone associated with the user;
determining a distribution time based upon historical network traffic patterns; and
distributing the subset of the plurality of job descriptions based upon the distribution time.