Abstract: Methods and apparatus are disclosed for interactive job recommendation and application submission tools of employment website entities. A system includes processor(s). The processor(s) are configured to retrieve, during a session on an employment app operating on a computing device, a first employment opportunity for the candidate based upon candidate information and employment preferences of the candidate. The processor(s) are configured to detect, during the session, an employment command received from the candidate via the computing device in response to presenting the first employment opportunity to the candidate via the computing device.

Abstract: Methods and apparatus are disclosed for interactive job recommendation and application submission tools of employment website entities. An example system includes an app manager to review, via a processor during a session of a candidate, a resume of the candidate that includes candidate information. The app manager is to receive a first employment preference of the candidate upon prompting via a display and is to detect an employment command upon presenting a first employment opportunity.

Abstract: Method and systems are disclosed for distribution of candidate information to a recruiter list. An example apparatus includes a candidate manager to retrieve, via a processor, a first keyword provided by a candidate during a session of the candidate on an employment website. The apparatus includes a recruiter-candidate comparator to query, in real time during the session, a database including bids for candidates. The recruiter-candidate comparator is to retrieve, in response to identifying that at least one of the bids for candidates includes the first keyword, one or more of the bids for candidates from the database that include the first keyword and determine a recruiter list to include at least one recruiter of the one or more bids for candidates that include the first keyword. The apparatus includes a recruiter manager to distribute, in real time during the session, candidate information of the candidate to the recruiter list.

Abstract: Method and apparatus are disclosed for classification of job titles via machine learning. An example system includes memory configured to store a convolutional neural network (CNN). The CNN includes a character-title partial-CNN, a word-title partial-CNN, a description CNN, and at least one fully-connected layer. The example system also includes one or more processors configured to apply the character-title partial-CNN to a title to generate a character-level feature, apply the word-title partial-CNN to the title to generate a first word-level feature, and apply the description partial-CNN to a description to generate a second word-level feature. The one or more processors are configured to generate a posting feature by concatenating the character-level feature, the first word-level feature, and the second word-level feature.

Abstract: Automated systems and methods for determining jobs, skills, and training recommendations are disclosed. An example system includes one or more processors of an employment website entity. The one or more processors are configured to extract job information and skill information from resumes in a resume database, generate a job transition graph based on the job information, generate a job-skill graph based on the job information and the skill information, and generate a skill re-occurrence graph based on the skill information. The one or more processors are configured to determine a jobs matrix by minimizing an objective function based on the job transition graph, the job-skill graph, and the skill re-occurrence graph. The one or more processors are configured to retrieve next job recommendations from the jobs matrix based on a the current job position of a candidate and present, via an employment app, the next-job recommendations for the candidate.

Abstract: A method and device for classifying collected images. The method and device include instructions to compare a captured image to a known set of images to determine the location depicted therein; and applying a classification upon the image based upon the determined location depicted therein and whether the determined location indicates that the image has the potential to depict privacy sensitive information.

Abstract: Method and apparatus are disclosed for automated resume and job posting creation with limited user-generated information. An example automated system includes a database and processor(s). The processor(s) are configured to obtain employment information for previous positions of a candidate via an employment app. For each of the previous positions, the processor(s) are configured to present a position interface; collect an employer name, a position title, a location, and a period of employment via the position interface; present a responsibilities interface that includes suggested responsibilities for the previous position; and collect, via the responsibilities interface, one or more selected responsibilities. The processor(s) are configured to retrieve, for each of the previous positions, the suggested responsibilities from the database based on the employer name, the position title, the location, and the period of employment.

Abstract: Methods and apparatus are disclosed for interactive job recommendation and application submission tools of employment website entities. An example system includes an app manager to review, via a processor during a session of a candidate, a resume of the candidate that includes candidate information. The app manager is to receive a first employment preference of the candidate upon prompting via a display and is to detect an employment command upon presenting a first employment opportunity.

Abstract: Method and systems are disclosed for distribution of candidate information to a recruiter list. An example apparatus includes a candidate manager to retrieve, via a processor, a first keyword provided by a candidate during a session of the candidate on an employment website. The apparatus includes a recruiter-candidate comparator to query, in real time during the session, a database including bids for candidates. The recruiter-candidate comparator is to retrieve, in response to identifying that at least one of the bids for candidates includes the first keyword, one or more of the bids for candidates from the database that include the first keyword and determine a recruiter list to include at least one recruiter of the one or more bids for candidates that include the first keyword. The apparatus includes a recruiter manager to distribute, in real time during the session, candidate information of the candidate to the recruiter list.

Abstract: A method and device for classifying collected images. The method and device include instructions to compare a captured image to a known set of images to determine the location depicted therein; and applying a classification upon the image based upon the determined location depicted therein and whether the determined location indicates that the image has the potential to depict privacy sensitive information.