METHODS AND SYSTEMS FOR EXPLORING CAREER OPTIONS
Techniques for presenting career information are described. Consistent with some embodiments, the profile data of members of a social network service is analyzed to generate a set of probabilities for use in predicting career transitions. Based on some profile data (e.g., academic major, academic degree, desired industry, etc.) provided by a user, the derived probabilities are used to predict a set of job titles likely to be of interest to the user. By repeating this process, the user can generate a career path, which is displayed in a visual and interactive manner, enabling the user to explore various aspects of different careers, industries and jobs.
1 . A computer-implemented method comprising:
analyzing profile attribute information extracted from the profiles of members of a social network service to derive a set of probabilities for use in predicting career transitions;
prompting for and receiving profile attribute information of a user of the social network service, the profile attribute information including an academic major and an academic degree for the user;
using the received profile attribute information of the user and the set of probabilities for use in predicting career transitions, identifying a first set of job titles representing next employment positions the user is likely to have; and
presenting the first set of job titles to the user.
2 . The computer-implemented method of claim 1 , wherein presenting the first set of job titles to the user includes presenting, for each job title in the first set of job titles, an average number of years of work experience a person is likely to have at the particular employment position represented by the job title, based on the analysis of the profile attribute information.
3 . The computer-implemented method of claim 1 , wherein presenting the first set of job titles to the user includes presenting, for each job title in the first set of job titles, a salary range for the employment position represented by the job title.
4 . The computer-implemented method of claim 1 , wherein the profile attribute information extracted from the profiles of members of the social network service include any one or more of: a member's current job title, a member's total years of work experience; a member's academic major; a member's academic degree; a member's geographic location; and, an educational institution attended by a member.
5 . The computer-implemented method of claim 1 , wherein identifying the first set of job titles representing next employment positions the user is likely to have includes using a Bayesian predictive model to identify the first set of job titles based on the derived set of probabilities for use in predicting career transitions.
6 . The computer-implemented method of claim 1 , further comprising:
prior to analyzing the profile attribute information extracted from the profiles of members of the social network service, normalizing the job titles of the members of the social network service by deduplicating and disambiguating job titles to derive a set of unique, industry-specific job titles.
7 . The computer-implemented method of claim 1 , wherein the set of probabilities for use in predicting career transitions includes conditional probabilities representing the probability that a member with a particular profile attribute will have a particular job title.
8 . The computer-implemented method of claim 1 , wherein presenting the first set of job titles to the first user includes prompting the first user to select a job title for inclusion in a career path for the user, the career path represented by a sequence of job titles, the method further comprising:
detecting the user's selection of a job title in the first set of job titles, and in response, presenting a visual representation of the career path of the user with the job title selected from the first set of job titles.
9 . The computer-implemented method of claim 8 , further comprising
using the received profile attribute information of the user, the set of probabilities for use in predicting career transitions, and a presumed number of years of work experience a person is likely to have at the particular employment position represented by the job title selected by the user from the first set of job titles, identifying a second set of job titles representing employment positions the user is likely to have subsequent to the employment position represented by the job title selected by the user from the first set of job titles;
presenting the second set of job titles to the user; and
detecting the user's selection of a job title in the second set of job titles, and in response, updating the visual representation of the career path of the user with the job title selected from the second set of job titles.
10 . The computer-implemented method of claim 9 , further comprising:
presenting the visual representation of the career path of the user with a sequence of job titles, each job title representing an employment position and having an associated number of years a person is expected to hold the employment position, based on the analysis of the profile attribute information.
11 . The computer-implemented method of claim 10 , further comprising:
analyzing profile attribute information of the user to identify members of the social network service i) with whom the user has established connections, and ii) who hold an employment position represented by a job title in the visual representation of the career path presented to the user; and
displaying information concerning one or more of the identified members of the social network service.
12 . The computer-implemented method of claim 10 , further comprising:
analyzing profile attribute information of the user to identify members of the social network service i) with whom the user has established connections, and ii) who are employed at a company that has one or more job listings posted to a job listing service, the job listing having a job title that corresponds with an employment position represented by a job title in the visual representation of the career path presented to the user; and
displaying, with the visual representation of the career path of the user, information concerning one or more of the identified members of the social network service.
13 . The computer-implemented method of claim 10 , further comprising:
identifying one or more companies at which one or more members of the social network service hold employment positions represented by a job title included in the visual representation of the career path of the user; and
displaying, with the visual representation of the career path of the user, information concerning one or more of the identified companies.
14 . The computer-implemented method of claim 10 , further comprising:
identifying one or more job listings for an employment position represented by a job title included in the visual representation of the career path of the user; and
displaying, with the visual representation of the career path of the user, information concerning the one or more identified job listings.
15 . A computer-readable storage medium storing instructions, which, when executed by a processor of a server, cause the server to:
analyze profile attribute information extracted from the profiles of members of a social network service to derive a set of probabilities for use in predicting career transitions;
prompt for and receive profile attribute information of a user of the social network service, the profile attribute information including an academic major and an academic degree for the user;
using the received profile attribute information of the user and the set of probabilities for use in predicting career transitions, identify a first set of job titles representing next employment positions the user is likely to have; and
present the first set of job titles to the user.
16 . The computer-readable storage medium of claim 15 , including further instructions which, when executed, cause the server to present, for each job title in the first set of job titles, an average number of years of work experience a person is likely to have at the particular employment position represented by the job title, based on the analysis of the profile attribute information.
17 . The computer-readable storage medium of claim 15 , including further instructions which, when executed, cause the server to present, for each job title in the first set of job titles, a salary range for the employment position represented by the job title.
18 . The computer-readable storage medium of claim 15 , wherein the profile attribute information extracted from the profiles of members of the social network service include any one or more of: a member's current job title, a member's total years of work experience; a member's academic major; a member's academic degree; a member's geographic location; and, an educational institution attended by a member.
19 . The computer-readable storage medium of claim 15 , wherein identifying the first set of job titles representing next employment positions the user is likely to have includes using a Bayesian predictive model to identify the first set of job titles based on the derived set of probabilities for use in predicting career transitions.
20 . The computer-readable storage medium of claim 15 , including further instructions which, when executed, cause the server to:
normalize the job titles of the members of the social network service by deduplicating and disambiguating job titles to derive a set of unique, industry-specific job titles, prior to analyzing the profile attribute information extracted from the profiles of members of the social network service.