Abstract: The present disclosure relates to the field of a system that maps employees' sentiments, and envisages a system for mapping employees' sentiments comprising a database, an input unit, a parser, a filter unit, a lexical analyse), an identifier, a mapping unit, an aggregator, a sentiments analyser, and a computation unit. The employee inputs are received through the input unit. The parser parses the inputs and generates tokens that are filtered based on the filter unit. Keywords are extracted from pre-determined list of keywords based on filtered words which are mapped with pre-determined group of themes and quantitative score based on the weightage score is computed by pre-determined weightage scores. The sentiments analyser analyses employee sentiments, based on quantitative score and computation unit computes a relationship between employee sentiments, employee feedback and employee performance.

Abstract: Methods and apparatus for generating feedback, reviewing feedback, and conducting interviews by use of VMocks are provided. A VMock, or Virtual Mock, is a virtual profile of a candidate that includes resume, text, video and a document. VMock profiles may be created that have one or more VMocks. Contacts associated with the VMock profile may be managed. Feedback may be requested from the contacts concerning the one or more VMocks, who may then generate the requested feedback. The feedback may then be reviewed. This feedback process may be performed in the context of interviews for employment opportunities and in other similar situations.

Abstract: Apparatuses, computer readable medium, and methods are disclosed for dynamic sampling based on talent pool size. The method of dynamic sampling based on talent pool size may include determining, by at least one hardware processor, a talent pool based on a query from a user, where the talent pool comprises members and the members comprise attributes. The method further includes determining based on a size of the talent pool a sampling size number, where the attributes are represented by probability distribution functions. The method may further include determining an aggregate distribution of the attributes by combining the sampling size number of samples from each of the attributes and determining a range of a value of the aggregate distribution of the attributes. The method may further include causing the range of the value of the aggregate distribution of the attributes to be displayed to the user.

Abstract: Techniques for query intent clustering for automated sourcing are described. In an example embodiment, disclosed is a system comprising a processor, a storage device, and a memory device holding an instruction set executable on the processor to cause the system to perform operations. The system obtains one or more recent hire member profiles used as a basis for a search on member profiles in a social networking service. Additionally, the system extracts one or more attributes from the one or more recent hire member profiles and stores the attributes on the storage device. Moreover, the system identifies skills clusters based on the extracted attributes retrieved from the storage device. Furthermore, the system generates a search query based on the identified skills clusters. Then, a search can be performed on member profiles in the social networking service using the generated search query, returning one or more result member profiles as candidates.

Abstract: Techniques relate to managing digital credentials. An employee records database is accessed to identify a plurality of employees. Within the plurality of employees, a first set of employees is identified. For each employee in the first set of employees, a server computer hosting a digital credential repository is accessed to identify a plurality of digital credentials associated with the employee. The plurality of digital credentials of each employee in the first set of employees are analyzed to generate a statistical analysis of the plurality of digital credentials. With the statistical analysis complete, data identifying the statistical analysis is transmitted to a user device.

Abstract: The present disclosure describes a system, method, and computer program for removing or replacing information in candidate profiles that may influence bias. The system identifies data in candidate profiles that may influence bias with respect to one or more defined classes of bias, such as gender, race, or age. The identified data is removed or replaced with an abstracted/neutral form of the data. The system may also remove information that personally identifies a candidate. In certain embodiments, the system determines what data is relevant for the job for which a candidate is applying and, for data that is relevant, at what level it is relevant (i.e., at the base value or an abstracted level). In such embodiments, the system removes data from the candidate's profile that is not relevant for the job role and, where applicable, abstracts some of the remaining data to levels that are relevant for the job role.

Abstract: A system and method are presented to create custom versions for users of recorded sessions of individuals. Individuals are recorded at a booth responding to prompts. Audio and visual data recorded at the booth are divided into time segments according to the timing of the prompts. Depth sensors at the booth are used to assign score values to time segments. Prompts are related to criteria that were selected as being relevant to an objective. Users are associated with subsets of criteria in order to identify subsets of prompts whose responses are relevant to the users. Time segments of audio and visual data created by the identified subset of prompts are selected. The selected time segments are ordered according to herd behavior analysis. Lesser weighted time segments may be redacted. The remaining portions of ordered time segments are presented to the user as a custom version.

Abstract: The disclosed embodiments provide a system for forecasting job applications. During operation, the system applies a first machine learning model to features that include a budget for a job to predict a number of impressions of the job. Next, the system applies a second machine learning model to additional features for the job to estimate an application rate for the job. The system then determines a distribution of applications to the job based on the number of impressions and the application rate. Finally, the system outputs one or more values from the distribution of applications to the job as guidance for setting the budget for the job.

Abstract: Upon receiving an inbound call, a call management system retrieves from a customer database enterprise customer data associated with an identified customer. The customer database tracks prospects, leads, new business and purchasers of an enterprise. Enterprise customer data may include customer event data, activity event data and attributions data. The system retrieves customer demographic data associated with the identified customer. A group of agents is selected from a plurality of groups of agents based on retrieved enterprise customer data. A predictive model determines a value prediction signal for the identified customer, then classifies the identified customer into a first value group or a second value group. The system routes a customer call classified in the first value group to a first queue position, and routes a customer call classified in the second value group to a second queue position, for connection to an agent from the selected group of agents.

Abstract: In an example embodiment, one or more specified ideal candidates are used to perform a search in a database. One or more attributes are extracted from one or more ideal candidate member profiles. A search query is then generated based on the extracted one or more attributes. Then, a search is performed on member profiles in the social networking service using the generated search query, returning one or more result member profiles.

Abstract: This disclosure is directed to systems and methods for generating and querying an index associated with targeted communications. A method may include receiving candidate identifiers, rates of targeted communication, and traits associated with the candidate identifiers. A method may include generating a candidate index including one or more dimensions associated with candidate traits. A method may include receiving a query associated with desired candidate traits, determining if one or more candidates appear in the dimensions associated with the desired traits, and intersecting the dimensions to determine if one or more candidates appear in all of the dimensions associated with the desired candidate traits. A method may include generating a result set based on the results of an intersecting computation. A method may include removing candidates from the result set and transmitting targeted communications on behalf of or to the candidates remaining on the result set.

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: Methods and systems are provided for speech emotion recognition interview process. In one novel aspect, in addition to contents assessment to an answer audio clip, the concurrent sentiment classifier is generated based on emotion classifier of the answer audio clip. In one embodiment, the computer system obtains a sentiment classifier of an audio clip of a first answer to the first question, wherein the sentiment classifier is derived from an emotion classifier resulting from a convolutional neural network (CNN) model analysis of the audio clip; obtains an assessment result to the first question by analyzing the audio clip of the first answer to the first question using a recurrent neural network (RNN) model; and generates a first emotion response result to the first question based on the sentiment classifier and the assessment result, wherein the first emotion response result presents a sampling experience factor to the response assessment result.

Abstract: Systems and methods for facilitating online interactions between voice talent users and employer users. The online web-based system has a voice talent database module, an open job database module, a negotiation module, and a payment module. The online system allows the employer users to search for a suitable voice talent user, preview the specific voice talent user's demonstration voice clip, and contact the voice talent user. The open job database allows employer users to upload contracts and jobs for which they need voice talent. The payment module allows payment for completed contracts to be exchanged between employer users and voice talent users with the system administrator/operator as a go-between. A matching method may also be used with the system to match voice talent users with open contracts to alert employer users. Targeted invitations to apply for these contracts may then be sent to qualified voice talent users.

Abstract: Methods and arrangements for determining at least one employment trait of an individual from online activity. Collecting a plurality of employment task data points from a plurality of online sources, wherein each employment task comprises a data set indicative of a path taken by at least one individual from a starting point to an ending point, wherein the starting point and ending point are defined on the basis of common parameters. The collected plurality of employment task data points are assessed, to determine an employment trend of the individual and creating at least one profile of the individual based on the determined employment trend. At least one profile is stored at a data storage location. Other variants and embodiments are broadly contemplated herein.

Abstract: Instead of a fixed fee for a particular job application, discussed in some examples are methods, systems, and machine readable mediums which provide for a job posting service that utilizes a pay-per-click model. That is, job posters pay a fee for each time the member selects the job posting for further inquiry when that posting is shown to a member (called an impression). The fee that is paid is determined by the job poster. Selecting a job posting may comprise clicking on or otherwise entering an input signifying an intention to view the job.

Abstract: One embodiment provides a method, including: receiving a plurality of review comments from each of a plurality of reviewers tasked with reviewing a document; categorizing each of the plurality of review comments into one of a plurality of review topics; identifying a conflict between a first review comment provided by one of the plurality of reviewers and a second review comment provided by another of the plurality of reviewers, wherein the identifying a conflict comprises (i) identifying a sentiment of the first review comment and a sentiment of the second review comment and (ii) determining that the sentiment of the first review comment and the sentiment of the second review comment are different; and generating a question set comprising a plurality of questions based upon a conflict identified for a review comment of the corresponding reviewer, wherein the corresponding reviewer answering the generated question resolves the conflict.

Abstract: In an example embodiment, a confidential data architecture is extended by providing components for reliably inferring confidential data insights (e.g., median salary) for cohorts with little or no actual submitted confidential data. This is performed by inferring confidential data values based on organizations that are considered to be peers to the organization of interest. This solution involves two parts: the generation of a novel, semantic representation (embedding) of organizations to be used to compute a similarity measure between any two organizations, and the use of the semantic representation to compute a peer organization group of a given company.

Abstract: A system and method for managing the qualifications of emergency management personnel through the use of at least partially automated qualification management devices or electronic Position Task Books (ePTBs) is presented herein. The system includes a network of participating organizations comprising governmental agencies, non-governmental organizations (NGOs), academic institutions, and the private sector. The qualification management devices or ePTBs are used to establish the suitability of the personnel or individual participants in the performance of emergency management duties in the areas of emergency preparedness, planning, response, recovery, etc. More specifically, the present invention is directed to a system and/or method for the management (including the issuance, execution, and review) of qualification management devices or ePTBs within a self-managed network of participating organizations using internet and mobile technology to deliver ePTBs.

Abstract: A capture device obtains customer data and electronic signatures via a captive portal. The capture device analyzes a digital form provided by a user and automatically configures a digital version of the form for signing. When a client device associated with a customer connects to the capture device, the capture device triggers a captive portal to appear on the client device. The capture device renders the digital form within the captive portal. The customer can then fill out, electronically sign, and submit the form. The capture device generates an audit trail for the electronically signed form based on identifying data captured transparently from the client device. The capture device establishes a secure connection with the client device for enhanced security and to prevent the client device from displaying security warnings.

Abstract: Systems and methods are provided for scoring video clips using visual feature extraction. A signal including a video clip of a subject is received. For each frame of the video clip, physiological features of the subject visually rendered in the video clip are extracted. A plurality of visual words associated with the extracted physiological features are determined. A document including the plurality of visual words is generated. A plurality of feature vectors associated with the document are determined. The plurality of feature vectors to a regression model for scoring are provided.

Abstract: A method and system relating to determine a match between a candidate and a job position for an enterprise, the method and system including receiving an enriched talent profile associated with the candidate, the enriched talent profile comprising a talent profile of the candidate derived from a first data source of the enterprise, and one or more supplemental data items obtained from a second data source independent from the first data source, generating a calibrated job profile for the job position, the calibrated job profile comprising information, and executing a machine learning module using the enriched talent profile and the calibrated job profile as inputs to determine a match score between the candidate and the job position.

Abstract: This disclosure relates to systems and methods for recommending relevant positions. A method includes receiving, from a member of an online networking service, a query for one or more available employment positions; executing the query, at a database of employment positions, to retrieve the one or more available employment positions; filtering results of the query according to one or more facets; generating an electronic user interface to display the filtered results; and allowing the member to adjust the facets using the electronic user interface.

Abstract: Methods and Systems for determining a probability of relevance for a new resume. Existing resumes that have a high probability of relevance for a position can be chosen. A vocabulary of words can be built. Each word can be mapped into a vector such that each existing resume can be represented by a sequence of vectors and each sentence and/or paragraph in the resume can be represented by a subsequence of vectors including a subset of the sequence of vectors. Data augmentation, including changing the order of subsequences in order to create additional resumes represented by subsequences, can be applied. A deep neural network can be trained using the subsequences that represent the existing resumes and the subsequences that represent the additional resumes. New resumes can be classified using a trained deep neural network. A relevant resume can be output using the trained deep neural network.

Abstract: Systems, methods, and non-transitory computer readable media are configured to receive a resume corpus. A machine learning model is trained based on terms from the resume corpus. A job title for a user is determined based on profile information provided to the model.

Abstract: Method, system and product for automatic performance of user interaction operations on a computing device. A method comprising: obtaining an identifier of an operations sequence; obtaining the operations sequence by searching a repository of operations sequences using the identifier, wherein the repository of operation sequences comprises operations sequences defined based on a previous execution of one or more operations by another computing device other than the computing device on behalf of another user other than the user; and automatically executing the operations sequence or portion thereof on the computing device. Another method comprises: identifying elements in a layout of a GUI, displaying in visible proximity to each of the elements an assigned unique label; recognizing speech by a user vocally indicating a selected element by referring to the assigned label; and, automatically performing a user interaction operation on the selected element.

Abstract: Upon receiving an inbound call, a call management system retrieves from a customer database enterprise customer data associated with an identified customer. The customer database tracks prospects, leads, new business and purchasers of an enterprise. Enterprise customer data may include customer event data, activity event data and attributions data. The system retrieves customer demographic data associated with the identified customer. A group of agents is selected from a plurality of groups of agents based on retrieved enterprise customer data. A predictive model determines a value prediction signal for the identified customer, then classifies the identified customer into a first value group or a second value group. The system routes a customer call classified in the first value group to a first queue position, and routes a customer call classified in the second value group to a second queue position. for connection to an agent from the selected group of agents.

Abstract: In an example embodiment, a machine learning algorithm is used to train a query-based deep semantic similarity neural network to output a query context vector in a vector space that includes both query context vectors and document context vectors. Both the query context vectors and document context vectors are clustered using a clustering algorithm. When an input search query is obtained, the input search query is also passed into the query-based deep semantic similarity neural network and its output document context vector assigned to a first cluster based on the clustering algorithm. Documents within the first cluster are then retrieved in response to the input search query.

Abstract: Disclosed is a method and system for enabling a job seeker to browse a plurality of job classifieds or a job provider to browse a plurality of job seeker profiles. The method includes generating and storing a job seeker profile for the job seeker based upon job seeker information a location of the job seeker; identifying a plurality of job classifieds stored in the data store which are relevant to the job seeker based upon the job seeker profile; serving the plurality of job classifieds to the mobile device for presentation to the job seeker; receiving job seeker feedback data indicative of whether each job classified was relevant or not relevant; analysing the job seeker feedback data; and updating the job seeker profile stored in the data store in accordance with the analysis of the job seeker feedback data.

Abstract: A method for matching consumers with service providers, including the initial step of receiving service provider profile data from one or more service providers. Additional steps include: receiving service request data from a consumer; comparing, based on a matching criteria, the service request data with the service provider profile data to obtain a primary set of service providers; presenting, to the consumer, at least a portion of the service provider profile data of each of the service providers included in the primary set; receiving a selection by the consumer to transact with a first service provide; presenting information a request to the first service provider to either accept or reject to transact with the consumer; and obtaining a secondary set of service providers from the one or more service providers and presenting the secondary set of service providers to the consumer.

Abstract: Systems, methods, and non-transitory computer readable media are configured to determine a training set to train a machine learning model. A feature set for the model is determined. The model is trained based on the training set and the feature set to determine a score reflecting a probability that each user in an evaluation set of users is qualified for employment with an organization. A ranking of users in the evaluation set is provided based on the score determined for each user.

Abstract: A method for detecting bias in an evaluation process is provided. The method includes operations of receiving evaluation data from a candidate evaluation system. The evaluation data is provided by a set of evaluators based on digital interview data collected from evaluation candidates. The operations of the method further include extracting indicators of characteristics of the evaluation candidates from the digital interview data, classifying the evaluation candidates based on the indicators extracted from the digital interview data, and determining whether the evaluation data indicates a bias of one or more evaluators with respect to a classification of the evaluation candidates.

Abstract: The present disclosure relates to an automated process and associated computerized system and method implemented over an automated system for generating Job Reports for different job offers of employers, where the new process and associated system allows an employer to customize template Job Reports with one or more of different fields using a cloud-based Application Programming Interface (API). The system further includes a fully integrated system to interface with an employer's Applicant Tracking System (ATS) designed to help employers track multiple new features associated with the customized Job Reports generated and make alterations that do not require production time.

Abstract: Systems and methods for predicting feature values in a matrix are disclosed. In example embodiments, a server accesses a matrix, the matrix having multiple dimensions, one dimension of the matrix representing features, and one dimension of the matrix representing entities. The server separates the matrix into multiple submatrices along a first dimension, each submatrix including all cells in the matrix for a set of values in the first dimension. The server provides the multiple submatrices to multiple machines. The server computes, using each machine, a correlation between values in at least one second dimension of the matrix and a value for a preselected feature in the matrix, the correlation being used to predict the value for the preselected feature based on other values along the at least one second dimension. The server provides an output representing the computed correlation.

Abstract: Methods, systems, and computer programs are presented for grouping job postings for presentation to a user in response to a search. A method includes determining the closest-matching groups of jobs for a user and presenting a display such that the closest-matching jobs are viewable within the groups. For each group, a server determines a group affinity based on a group characteristic and a user characteristic and affinities of jobs for that group based on the job postings and the group characteristic. The server ranks the groups for the user based on the group affinity score for each group, and ranks the job postings within each group based on the jobs affinity to the user. Some of the groups and job postings are presented to the user based on the ranking.

Abstract: Examples of the disclosure provide a system and method for obtaining one or more current candidate resumes and one or more past candidate resumes associated with a role and analyzing full text of the obtained resumes to identify one or more items. Weighted values are determined for the identified items using a dimension reduction technique, and a probability score is calculated for each of the obtained current candidate resumes based on selection data associated with the obtained past candidate resumes. A keyword score is calculated for each of the obtained current candidate resumes based on a presence of one or more keywords associated with the role in the obtained current candidate resumes. A final candidate score is generated for each of the obtained current candidate resumes based on the keyword score and the calculated probability score, and the generated final candidate scores are output in association with the obtained current candidate resumes to a user interface.

Abstract: This disclosure relates to a system and method for creating a job advertisement. The job advertisement includes visual information which is presented an in organized, easily digestible manner. An example system according to the present disclosure includes, among other things, a first computing device a second computing device in communication with the first computing device. The second computing device is configured to receive an input of text describing a job from the first computing device and create a job advertisement including at least one image representative of at least a portion of the text.

Abstract: A method, server, and computer program for matching jobs and workers. The server is configured to receive, from entities, job data indicative of available jobs; receive from mobile devices associated with workers, worker data; store the job data and the worker data in the data store; determine and store, in the data store, worker preference data and entity preference data; determine matches, wherein each match pairs one of the workers with one of the jobs based on the worker preference data and the entity preference data; transfer, to each matched worker via a respective mobile device, data indicative of the respective matched job; receive, from at least some of the mobile devices, feedback data indicative of whether at least some of the matched jobs were accepted or declined; and transfer, to the respective entity for each accepted job, data indicative of the respective worker who accepted the job.

Abstract: Methods, apparatus, systems, and computer-readable media are provided for increasing dimensionality of data structures associated with filling positions. In some implementations, a prediction of desired experience for a given position to be filled may be used to increase the dimensionality of a searchable data structure that represents the given position. For example, the predicted desired experience may be incorporated into a searchable field of the data structure. Among other things, increasing the dimensionality of the data structure may facilitate more granular searching of positions and guided creation of new positions to be filled. In some implementations, a predicted desired experience may be used to notify a user posting a new position whether a specified desired experience corresponds to a predicted desired experience.

Abstract: The present disclosure describes methods and systems, including computer-implemented methods, computer-program products, and computer systems, for automating a proactive Safety KPI analysis. Correlated data related to a safety key performance indicator (KPI) is obtained from a correlation engine. A safety KPI prediction related to safety incidents, future safety trends, or future safety KPIs is generated based on the received correlated data and at least one safety KPI prediction model. The generated safety KPI prediction is transmitted to a proactive monitoring and alerting engine and a safety KPI alert is generated based on the safety KPI prediction, at least one alert threshold, and the at least one safety KPI prediction model. Transmission of the generated safety KPI alert is then initiated.

Abstract: In an example, a first hash function is performed on job posting features extracted from a job posting to obtain hashed job posting features. The hashed job posting features are stored in a forward-index corresponding to the job posting in the database. When a job search query is received from a first member of a social networking service, job search query features are extracted from the job search query and a second hash function is performed on the job search query features. The hashed job posting features and the hashed job search query features are fed to a job posting result ranking model trained via a machine learning algorithm to compare the hashed job posting features to the hashed job search query features to generate an application likelihood score indicating a likelihood that the first member will apply for a job corresponding to the job posting.

Abstract: Upon receiving an inbound call, a call management system retrieves from a customer database enterprise customer data associated with an identified customer. The customer database tracks prospects, leads, new business and purchasers of an enterprise. Enterprise customer data may include customer event data, activity event data and attributions data. The system retrieves customer demographic data associated with the identified customer. A group of agents is selected from a plurality of groups of agents based on retrieved enterprise customer data. A predictive model determines a value prediction signal for the identified customer, then classifies the identified customer into a first value group or a second value group. The system routes a customer call classified in the first value group to a first queue position, and routes a customer call classified in the second value group to a second queue position. for connection to an agent from the selected group of agents.

Abstract: The present disclosure involves systems, software, and computer implemented methods for monitoring processes running on a platform as a service architecture. One example method includes extracting one or more electronic job postings from a plurality of job posting websites. For each extracted electronic job posting, data associated with the extracted electronic job posting is automatically normalized into a normalized electronic job posting in a structured format. Each normalized electronic job posting is automatically enriched to create an enriched electronic job posting based on data sources external to the job posting websites. Each enriched electronic job posting is stored in a job posting repository.

Abstract: A system may receive task information identifying tasks to be performed by workers of one or more crowds. The system may obtain worker information describing the workers. The system may determine task completion probabilities based on the task information and the worker information. A task completion probability may identify a likelihood that a particular crowd will complete a particular task. The system may determine crowd recommendation information based on the task completion probabilities, the task information, and/or the worker information. The crowd recommendation information may identify recommended crowds to which a task is recommended to be provided. The system may output the crowd recommendation information and/or the worker information to permit selection of the crowds to perform the task.

Abstract: A system and method comprising receiving information corresponding to a prospective transaction by a user, computing a characteristic value for the user based at least in part on the information, and generating a score for at least one payment type based at least in part on the information and historical data about previous transactions, the at least one payment type corresponding to at least one computer-executed workflow for finalizing the prospective transaction. The system and method further comprising, determining, based at least in part on the score and the characteristic value, an interface to display to the user, the interface including functionality that enables the user to initiate execution of the at least one computer-executed workflow, and providing the interface to the user.

Abstract: Systems, methods, and apparatus to provide private information retrieval are disclosed. An example apparatus includes a protected data enclave to store a first portion of data such that entities other than the first trusted hardware processing unit are unable to access the first portion of the data. The example apparatus includes a request processor to determine that a data element specified in a first request from an entity is stored in a second trusted hardware processing unit. The request processor is to send an encrypted request for the data element to the second trusted hardware processing unit, and send an encrypted dummy request to a third trusted hardware processing unit. The request processor is to determine whether an encrypted dummy response has been received from the third trusted hardware processing unit, and whether an encrypted response including the data element has been received from the second trusted hardware processing unit.

Abstract: Methods and systems for leveraging one's social network in the context of an opportunities marketplace are described. One aspect of the invention involves integrating social networking features into an online marketplace, or exchange. Accordingly, one aspect of the invention involves facilitating an opportunity search in a manner that provides social networking information with the results of the search.

Abstract: Method of providing a member of a social network system with information pertaining to a set of job openings available to the member. The set of job openings are generated by accessing a member profile comprising a set of member characteristics and identifying a set of career paths. The method is further performed by generating a first a first set of job openings from a plurality of job listings based on the set of career paths. A second set of job openings is generated from the first set of job openings by processing the set of member characteristics using a historical hiring model. Information pertaining to the second set of job openings is communicated to a client device accessing the social networking system.

Abstract: The disclosure discusses an AODSA tool that assists a user in submitting data responding to an online data posting. An embodiment of the invention is described as a job application utility. The user registers with a central data management system. This may be achieved by uploading a resume and/or manually providing registration data. Alternately, the registration data may be derived from parsing an uploaded resume that is analyzed and stored. In another embodiment, a user may simply answer a series of registration questions to register, while also creating a resume. Once the identifying information is finalized, the user is able to search the broad range of job listings. The user is able to forward identifying information to respond to a job listing by forwarding an uploaded/system created resume to an email address in the job listing or conduct an auto-fill of a linked online job application form.

Abstract: The technology introduced here enables a customer to readily view, and securely connect with, project managers and freelancers who complete projects on behalf of the customer. The customer initially posts a project specification through a crowdsourcing platform. Project managers compete with one another by submitting proposals for the project through a freelancing platform. When a proposal is selected by the customer, the project manager corresponding to the proposal can construct a team that includes one or more freelancers who complete the technology project under the supervision of the project manager. As milestones are completed, the project manager and/or freelancer(s) can be paid from an escrow account maintained by the administrator. Additionally or alternatively, invoices for work completed by the team could be generated and delivered to the customer.