Abstract: A farmed fish tracking and verification system involves introducing biomarkers into a batch of farmed fish, and storing biomarker information in a database. Other information is also stored in the database, such as production information and funding information. Funding information can include information regarding funders who have contributed funds for the production of the fish. The funding information can also include payment instructions for the funders. Once the fish is processed, and a fish product is delivered to a customer, the fish product can be scanned to detect the biomarker information for approval. The database can then be queried using the biomarker information to track and verify information about the fish. Once the fish product is approved and sold to a customer, a portion of the proceeds can be transferred directly to one or more funders accounts based on the payment instructions.

Abstract: Updating a user social network profile of a user based on relevant activities posted by other users in a same social network.

Abstract: A method for automatically detecting inappropriate content on a computing application is provided. The method may include, in response to detecting an attempt to post content on the computing application, parsing the content to identify parts of the content. The method may further include determining whether the parts of the content comprises inappropriate content by applying algorithms to the parts of the content based on information associated with one or more computing applications and by predicting whether potential viewers of the one or more parts of the content view the one or more parts as inappropriate. The method may further include, in response to determining that the one or more parts of the content includes inappropriate content based on the applied algorithms and the potential viewers, generating and displaying feedback and providing suggestions for editing the inappropriate content on the attempted post.

Abstract: The subject disclosure provides techniques for enriching user reviews and providing improved user recommendations using data collected by autonomous vehicles (AVs). In some aspects, a process of the disclosed technology includes steps for receiving a ride request wherein the ride request specifies a pick-up location associated with a user identifier (ID), navigating an autonomous vehicle to the pick-up location to provide ride service for a user associated with the user ID, and receiving review information from the user, wherein the review information relates to a product or service consumed by the user. In some aspects, the process can also include steps for associating the review information with the user ID, and enriching the review information using trip information associated with the user ID. Systems and computer-readable media are also provided.

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 first content and a second content of a first user are obtained. The second content is configured by the first user to be displayed to a second user instead of the first content. A familiarity degree between the first user and the second user are determined. A third content is generated based on the first content, the second content, and the familiarity degree. The third content is displayed to the second user.

Abstract: A system and method for determining optimal pathways to a predetermined goal, including generating a unique code for an event within a plurality of data records, where the same unique code will be generated for similar events; constructing at least one pathway using the unique codes based on the events, wherein the at least one pathway includes at least one segment; determining a goal, wherein the goal is the end of the at least one pathway; comparing the at least one pathway to other pathways sharing the determined goal; and optimizing the pathway for achievement of the determined goal.

Abstract: An information source, such as an advertiser or product vendor, transfers information to contacts for which the information source has no contact data. The information source stores information in an information database which communicates the information to a referrer which has the desired contact data. The referrer uses a communication device to transfer the information to one or more contacts using contact data.

Abstract: A device receives image data of a contractual document that includes an offer including terms of a proposed transaction, converts the image data to text data that identifies text within the contractual document, and receives preferences information for a recipient of the offer. The device identifies key terms within the contractual document by using term identification to analyze the text. The key terms may include a first key term that identifies subject matter of the proposed transaction and other key terms that are part of the offer. The device determines term scores that correspond to likelihoods of the other key terms being favorable to the recipient by using a data model to analyze the key terms and the preferences information. The device, based on the term scores, generates and provides another device with a recommendation to be used in determining whether the accept the offer.

Abstract: Techniques for enhancing usability and electronic resource efficiency using job relevance are disclosed herein. In some embodiments, a list of a predetermined number of top job openings for a member of the social networking system is generated. The list is communicated to a device of the user for presentation in a user interface on the device. The user interface allows the member to browse through and provide an indication of a lack of relevancy of each of the list of the predetermined number of top job openings to the member and an indication of a reason for the lack of relevancy. Based on the user providing the indication of the lack of relevancy and the reason, a modified relevancy assessment of each of the plurality of job openings is generated. The list of the predetermined number of top job openings for the member is regenerated and communicated to the device.

Abstract: A system and method to generate substantive and quality responses to end user reviews for publication via an online review platform. A review associated with a merchant system is identified, the review including multiple review elements. Extracting a set of key review elements from the multiple review elements. A sentiment score associated with a first key review element of the set of key review elements is determined. A review response is generated to include a set of values corresponding to a set of response components, wherein a first value of the set of values comprises the first key review element. The review response including the sentiment score associated with the first key review element is displayed.

Abstract: The disclosed embodiments provide a system for predicting hiring priorities. During operation, the system determines hiring features characterizing hiring activity by a company for a set of titles. Next, the system applies a first machine learning model to the hiring features to produce a first set of scores representing future hiring volumes and applies a second machine learning model to the hiring features to produce a second set of scores representing future hiring growth. The system then generates a first ranking of the titles by the first set of scores and a second ranking of the titles by the second set of scores. Finally, the system outputs at least a portion of the first ranking as a prediction of future hiring volumes by the company and at least a portion of the second ranking as a prediction of future hiring growth by the company.

Abstract: Systems and methods for displaying a user interface object associated with a job candidate's social networking site proximate to a job listing presented by a website are described. When a job candidate selects the user interface object, the systems and methods identify and/or obtain information associated with the job candidate that is located or otherwise stored at the social networking site of which the job candidate is a member. Once the information is identified and/or obtained, the systems and methods provide the information to the website, such as to a job application submission system associated with the website.

Abstract: The disclosure is generally directed to systems and methods for obtaining and evaluating a test result report in real-time so as to determine an entry status of an individual into the establishment.

Abstract: Updating a user social network profile of a user based on relevant activities posted by other users in a same social network.

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: 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: 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: 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 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.