Abstract:
A skills classification system is configured to calculate, for a skill from the skills database, industry-specific probabilities for the industries associated with the skill. An industry-specific probability for an industry with respect to a skill is the probability of that skill being a required skill for a job associated with that industry. The skills classification system also calculates an industry-agnostic probability with respect to that same skill, which is the probability of the skill being a required skills for any job regardless of the industry. Based on the distance between the set of industry-specific probabilities for the industries associated with the skill and the industry-agnostic probability, the skills classification system calculates a score for the skill. This score is used to determine whether the skill should be tagged with a soft skill identifier or a hard skill identifier.
Abstract:
Techniques for improving the accuracy, relevancy, and efficiency of a computer system of an online service by providing a user interface to optimize a digital page of a user on the online service are disclosed herein. In some embodiments, a computer system accesses a profile of a first user of an online service stored in a database of the online service, and generates a suggestion for adding a measurable accomplishment to a particular section of a page of the first user based on profile data of the accessed profile using a neural network model, with the neural network model being configured to identify the measurable accomplishment based on the profile data of the accessed profile.
Abstract:
Techniques for improving the accuracy, relevancy, and efficiency of a computer system of an online service by providing a user interface to optimize a digital page of a user on the online service are disclosed herein. In some embodiments, a computer system identifies job postings published on an online service as corresponding to a type of job based on feature data of each one of the job postings, extracts phrases from the identified job postings based on a corresponding relevancy measurement and a corresponding diversity measurement for each one of the phrases, determines a corresponding section of a page of a user to suggest for placement of the extracted phrase using a placement classifier for each one of the extracted phrases, and generates a corresponding recommendation for the page based on the extracted phrase and the determined section of the extracted phrase for each one of the phrases.
Abstract:
The video recommendation system provided with an on-line connection system generates on-line video recommendations using collaborative filtering for clusters of member profiles. The recommendation system clusters member profiles using member profile information as clustering criteria. The video recommendations are then generated for a given cluster, based on aggregation of video viewing history recorded for the member profiles that are in the given cluster, using the video similarity matrix. In order to produce video recommendations for a particular member profile, the recommendation system first determines cluster membership for the member profile, retrieves recommendations generated for that cluster, and provides recommendations to the associated member. A user interface including references to one or more recommended videos is rendered on a display device of a viewer.
Abstract:
A configuration architecture automatically links the output of a business process modeler to a business system configuration tool. The output of the business process modeler is translated into a representation of a source business process that is used by the business system configuration tool to automatically generate configuration templates. A user can provide configuration information through the configuration templates. The configuration inputs are applied to an implementation of a business system to obtain a configured, working business system instance with the same functionality as the source business process.
Abstract:
Techniques for improving the accuracy, relevancy, and efficiency of a computer system of an online service by providing a user interface to optimize a digital page of a user on the online service are disclosed herein. In some embodiments, a computer system identifies job postings published on an online service as corresponding to a type of job based on feature data of each one of the job postings, extracts phrases from the identified job postings based on a corresponding relevancy measurement and a corresponding diversity measurement for each one of the phrases, determines a corresponding section of a page of a user to suggest for placement of the extracted phrase using a placement classifier for each one of the extracted phrases, and generates a corresponding recommendation for the page based on the extracted phrase and the determined section of the extracted phrase for each one of the phrases.
Abstract:
Techniques for improving the accuracy, relevancy, and efficiency of a computer system of an online service by providing a user interface to optimize a digital page of a user on the online service are disclosed herein. In some embodiments, a computer system receives a plurality of job postings published on an online service; determines that a subset of the plurality of the job postings satisfies a similarity criteria based on corresponding feature data of each job posting in the subset, selects the subset of the plurality of job postings based on the determining that the subset satisfies the similarity criteria, and generates a recommendation for a page of a first user based on the selected subset of job postings, the recommendation comprising a suggested addition of content to the page of the first user.
Abstract:
A configuration architecture automatically links the output of a business process modeler to a business system configuration tool. The output of the business process modeler is translated into a representation of a source business process that is used by the business system configuration tool to automatically generate configuration templates. A user can provide configuration information through the configuration templates. The configuration inputs are applied to an implementation of a business system to obtain a configured, working business system instance with the same functionality as the source business process.
Abstract:
In some embodiments, a computer system generates a recommendation for a user of an online service based on user actions that have been performed by the user within a threshold amount of time before the generation of the recommendation. For each user action, the computer system determines an intent classification that identifies an activity of the user and that corresponds to different types of user actions, as well as a preference classification that identifies a target of the activity, and then stores these intent and preference classifications as part of indications of the user actions for use in generating different types of recommendations using different types of recommendation models. Additionally, the computer system may use mini-batches of data from an incoming stream of logged data to train an incremental update to one or more recommendation models.
Abstract:
The video recommendation system provided with an on-line connection system generates on-line video recommendations using collaborative filtering for clusters of member profiles. The recommendation system clusters member profiles using member profile information as clustering criteria. The video recommendations are then generated for a given cluster, based on aggregation of video viewing history recorded for the member profiles that are in the given cluster, using the video similarity matrix. In order to produce video recommendations for a particular member profile, the recommendation system first determines cluster membership for the member profile, retrieves recommendations generated for that cluster, and provides recommendations to the associated member. A user interface including references to one or more recommended videos is rendered on a display device of a viewer.