Abstract: Social network information may be shared across online service providers. Thus, one online service provider M that maintains a membership separate from a second online service provider N may nevertheless use the social network maintained by the second online service provider N to tailor content and/or services base on such social network information.

Abstract: An online system stores user profiles of users performing past user interactions with content items. The system receives a new content item and extracts a new feature vector from an image in the new content item using image analysis. The system generates, by a machine learning model, a demographic criteria vector based on the new feature vector. The machine learning model is configured based on the user profiles of the users performing the past user interactions with the plurality of content items to receive a feature vector for a content item and generate a demographic criteria vector based on the feature vector. The demographic criteria vector indicates a likelihood of a user with a user profile matching the demographic criteria vector interacting with the content item exceeding a threshold. The system sends the demographic criteria vector to a content provider for targeting the new content item.

Abstract: A hyper-graph sketching framework receives graph data set to generate non-singular reverse cascades in a network to assess influence dynamics therein. A high-quality influence oracle for seed sets uses the resulting sketch data set generated from the non-singular reverse cascades to output estimation of influence.

Abstract: In some embodiments, the systems and methods built in accordance with the present disclosure may analyze audience engagement with a presentation displayed during a meeting and provide feedback to a presenter during and/or after the presentation. In some embodiments, the provided feedback may include determining metrics indicative of participant engagement levels. Participant engagement levels may then be used to adjust meetings in real-time and/or after the meeting has ended. In some embodiments, the system may include a hybrid configuration where a subset of the presenters, participants and moderators are physically present in the same environment. In some embodiments, the system may include a fully virtual configuration where all of the presenters, participants and moderators are physically remote from each other.

Abstract: Systems and methods for classifying job skills based on a job skill taxonomy built using artificial intelligence are described. The method may include identifying a set of job skill terms from a corpus of job description documents, generating a synonym file by associating each of the job skill terms with a canonical job skill, extracting a set of job skills from the corpus of job description documents using the synonym file, generating job skill relationship information based on the extracted set of job skills, and creating a job skill taxonomy based on the job skill relationship information, wherein the job skill taxonomy comprises a hierarchy of job skills.

Abstract: Provided is a system including an applicant terminal, an application target server, and a platform server. The system collects various kinds of big data of students for admission to higher-grade schools and job seekers for employment, also collects various kinds of big data of schools or companies desired by the students or job seekers, and creates and provides a resume, a self-introduction letter, etc. optimized for the students or job seekers through artificial intelligence (AI).

Abstract: Implementations described herein disclose an informed join recommendation system that allows users to make informed decision about joining various information sources such as a feed, an application, a group, a blog, a news source, etc., based on an activity grade of the information sources. The informed join recommendation system analyzes information dissemination activity of information sources over a predetermined time period to determine an activity grade of the information source, and in response to the request from a user to join the information source, provides the user the activity grade of the information source.

Abstract: Described is a system for guiding opinions of users of a social media network. The system determines a number of control agents to be inserted into a population of users of the social media network. The system also determines a rate at which an expressed opinion of each control agent should change over a period of time. A control strategy is output which includes a control schedule based on the number of control agents to be inserted into the population of users and the rate at which the expressed opinion of each control agent should change over the period of time. Finally, the control schedule is deployed in the social media network.

Abstract: A method for measuring influence on a social network is provided. The method includes collecting social network service (SNS) data from an SNS, measuring a user influence index based on user account information among the SNS data and content information associated with the user account information, measuring an attribute influence value for an attribute included in image information based on the image information among the SNS data, measuring a product influence value for product information based on the user influence coefficient and the attribute influence value with respect to content including the product information, and curating the content including the product information based on the product influence value.

Abstract: A system, method, and apparatus for managing and monitoring productivity on subjects within one or more worksites is disclosed. The system includes a computing device, and in some embodiments a wearable device, configured to collect data associated with an employee on the one or more worksites in real-time in addition to verifying the identity of an employee based on images of the employee captured on the worksite within a geofence in order to prevent fraudulent clocking in/out. The collected data is utilized to track the productivity or lack thereof of the employee on the worksite.

Abstract: Systems and corresponding methods are provided that, in at least one embodiment, includes the act or acts of receiving a plurality of first representations; receiving a second representation of a first user; determining at least one group to which the first user belongs; determining at least one set of members of the at least one group; and filtering the plurality of first representations based, at least in part, on the at least one set of members. Each first representation represents a respective report.

Abstract: A system and method associated with online resume generation which can provide skill verification of assertions contained within a resume and associated systems and methods to display the information in a user-friendly and understandable manner. Some embodiments can comprise reviews associated with the verification process to provide a confidence level indicator associated with both the review and the asserted skill in the resume.

Abstract: A proposal generator generates a proposal or request for employment with content derived from a job seeker description such as a résumé. The proposal generator relies on a natural language processor for text recognition, named entity recognition, skills identification. The proposal generator uses a trained classifier to compare skill sets of a task description to skill sets of a job seeker. A proposal is generated if a sufficient quantity of comparison scores and relevancy scores are determined for a particular pair of task description and job seeker description. The proposal has a relatively high likelihood of passing through a screener and being reviewed by a human employment decision maker.

Abstract: A system and method for inferring appropriate courses for recommendation based on member characteristics is disclosed. A social networking system receives a request for recommended courses, wherein the request is associated with a member of the social networking system. The social networking system identifies a group of members who are similar to the first member. The social networking system creates a list of recently learned skills by members of the group of members similar to the member. For a particular skill in the list of skills, the social networking system determines whether the member possesses the particular skill. In accordance with a determination that the member does not possess the particular skill, the social networking system identifies at least one course that teaches the particular skill from a list of courses. The social networking system transmits the identified course to the client device for display as a recommended course.

Abstract: A computer-implemented method of authenticating a product comprises receiving, from a scanner terminal, a query message including a hapto-signature of the product to be authenticated, the hapto-signature including at least one haptic characteristic of the product as scanned by a touch-sensitive surface of the scanner terminal. The method comprises comparing the received hapto-signature against a hapto-signature database comprising a plurality of reference hapto-signatures, each reference hapto-signature having an associated product, to determine whether or not the received hapto-signature matches at least one of the reference hapto-signatures, wherein a determination that the received hapto-signature matches at least one of the reference hapto-signatures indicates that the product is authentic. The method comprises generating and sending a response message indicative of whether or not the received hapto-signature matches at least one of the reference hapto-signature.

Abstract: A plurality of session signatures and a plurality of inference flags are stored in association with each other, each session signature representing a combination of flag values, each flag value signifying a key event. A plurality of session events are logged, each session event issuing from one of the remote client devices and having a corresponding session ID and associated data. The session events are grouped by their corresponding session IDs to create a plurality of session records, each session record including flag values for a plurality of key events. A session signature is identified for each session record from the stored session signatures based on the key event flag values of the session record, and a value of an inference flag associated with the identified session signature is obtained from a storage device. A predetermined operation is performed based on the obtained value of the inference flag.

Abstract: A system includes a memory and at least one processor to compare content in a draft social media post with a library of social media posts and determine a similarity score for the draft social media post, the library of social media posts comprising social media posts that have published in a previous sixty day period and social media posts that are scheduled to publish in a next sixty day period, determine whether the similarity score is less than a maximum allowable similarity score, send a notification that indicates that the similarity score is one of greater than or equal to the maximum allowable similarity score and less than the maximum allowable similarity score, add the draft social media post to the library of social media posts when the similarity score is less than the maximum allowable similarity score, and publish the draft social media post.

Abstract: This system introduces photo imagery, video imagery, animation imagery, graphic interchange format (GIF) imagery, written content imagery, audio wave imagery, audio file imagery, and streaming media imagery, which is subject to an appearing, disappearing, deletion, and expiring time restriction as set by the sender or system administrator. The system primarily facilitates time restricted appearing content such as selfies, standard photos, video, and audio files where end-users can alter, manipulate or replicate the content against a competing clock for a predetermined period of time while the content is still in a server or electrical storage device prior to going live on a social media website or in a private in-house website forum. In addition, a sender or system administrator may grant preferred end-users pre-release authority to replicate the sender's original content within the server so that it may later be compared against the sender's original content sent to a website display or gallery.

Abstract: In one embodiment, a method includes receiving, from a requestor, a request for an on-demand identity product in relation to an identity of a consumer, the request comprising personally identifying information (PII) of the consumer. The method also includes executing, using the PII, a partial registration of the consumer for the on-demand identity product, the partial registration omitting satisfaction of at least one security requirement. The method additionally includes determining whether delayed authentication is enabled for the on-demand identity product. Moreover, the method includes, responsive to a determination that delayed authentication is enabled for the on-demand identity product: conditionally suspending the at least one security requirement; initiating provision of the on-demand identity product to the requestor; and restricting the requestor's access to determined sensitive data resulting from the initiated provision at least until the at least one security requirement is satisfied.

Abstract: Systems and methods include a computer-implemented method for autonomous procurement. User inputs defining a procurement request are received through a user interface. A pro forma contract is created, including performing a syntax analysis, a semantics analysis, and a pragmatic analysis on the user inputs to create a variables matrix of variables defining the pro forma contract. Bidders for the pro forma contract are selected, including creating a bidder list identifying suppliers who are to be invited to participate in bidding or submitting a quotation. A statement of work (SOW) is created based on the variables defining the pro forma contract. Solicitations of interest including the SOW are issued by the autonomous procurement system to bidders identified in the bidder list. Bidding parties are evaluated to identify qualified bidders. A winning bidder is selected from the bidding parties, and a final contract for the winning bidder is created.