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: In an example embodiment, a fast and space-efficient ranking mechanism is used for vertical searches. A precedence is assigned to a plurality of features based on the relative importance of those features to the provider of a vertical search engine. In an example embodiment, this relative importance may be explicitly indicated by the provider of the vertical search engine. A unique data structure may then be created that incorporates the precedence of each feature.

Abstract: A method of ingesting job postings into a social-networking system is disclosed. A candidate mapping is identified between a type of a data field corresponding to content items published on a third-party system and a type of a data field corresponding to job postings published on a social-networking system. A user interface is generated to prompt an administrator to identify the candidate mapping as a confirmed mapping. Based on the administrator identifying the candidate mapping as the confirmed mapping, the mapping is included in a data model corresponding to the content items published on the third-party system. Additional job postings to be published on the social-networking system are generated based on an application of the data model to additional content items published on the third-party system.

Abstract: In an example embodiment, a fast and space-efficient ranking mechanism is used for vertical searches. A precedence is assigned to a plurality of features based on the relative importance of those features to the provider of a vertical search engine. In an example embodiment, this relative importance may be explicitly indicated by the provider of the vertical search engine. A unique data structure may then be created that incorporates the precedence of each feature.

Abstract: In an example embodiment, a machine learning algorithm is used to train an engagement score model to calculate an engagement score for a particular member indicating a probability that the particular member would increase engagement with the social networking service if provided with statistical information about confidential data submitted by other members. Member usage information is obtained corresponding to a first member of a social networking service. Then a plurality of features are extracted from the member usage information corresponding to the first member. This plurality of features is inputted into the engagement model to obtain an engagement score for the first member. It is then determined whether or not to provide statistical information to the first member about confidential data submitted by other members based on the engagement score for the first member.

Abstract: In an example embodiment, a submission of confidential data is received from a user via a first computerized user interface. An identification of the user is obtained, and details regarding the submission are stored in a submission table. Then a request to display, to the user, statistical information derived from confidential data from users other than the user, is received from a second computerized user interface. Based on information stored in the submission table, a determination is made that the request to display, to the user, statistical information derived from confidential data from users other than the user should be granted. In response to the determining, the statistical information derived from confidential data from users other than the user is displayed via the second computerized user interface.

Abstract: In an example embodiment, a method for protecting against timestamp-based inference attacks in a computer system is provided. A timestamp corresponding to a time when confidential data is submitted to the computer system by a user is recorded. A modification value based on a frequency of submissions of confidential data to the computer system is selected. The timestamp is altered by adding the modification value to the timestamp.

Abstract: In an example embodiment, confidential data submitted by a user and one or more attributes of the user are obtained from one or more submission tables in a confidential information database. It is then determined that the one or more attributes of the user correspond to a first slice. In response to the determining, a count associated with the first slice is incremented. The count associated with the first slice is compared with a first threshold. In response to a determination that the count associated with the first slice transgresses the first threshold, the confidential data and the one or more attributes are added to a backend queue. Then, extraction, transformation, and loading (ETL) of the confidential data in the backend queue is performed and the confidential data is placed in an ETL table, in the confidential information database corresponding to the first slice.

Abstract: In an example embodiment, a submission of confidential data is received from a user. A first service is queried using an identification of the user to obtain a member profile corresponding to the user in a social networking service. One or more primary attribute values are identified from the member profile. The one of the primary attribute values are used to query a second service to obtain a derived attribute value corresponding to the one or more primary attribute values. The confidential data, one or more of the primary attribute values, and the derived attribute value are stored in a first submission table in a confidential information database. Then the one or more of the primary attribute values and the derived attribute value are used to classify the user into one or more slices.

Abstract: In an example embodiment, a method for protecting against confidential data-based inference attacks in a computer system is provided. A first confidential data value is received. Then a modification value is selected based on a level of privacy specified for the computer system. Then the first confidential data value is altered by adding the modification value to the first confidential data value.

Abstract: Techniques for standardizing and deduplicating unpaid job postings obtained from third-party systems are described. An unpaid job posting is obtained by a social networking service from a third-party system. The title and description of the unpaid job posting are standardized and combined into a standardized unpaid job posting. A deduplication process is performed to prevent the standardized unpaid job posting from replacing a paid job posting within the social networking service, and to prevent the standardized unpaid job posting from replacing a more authoritative, unpaid job posting within the social networking service.

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: In an example embodiment, a submission of confidential data is received from a user. Then, the confidential data is encrypted using a first public key generated as part of a first public key-first private key pair. The encrypted confidential data is stored in a first column of a first submission table in a confidential information database. An identification of the user is encrypted using a second public key different than the first public key, the second public key generated as part of a first public key-first private key pair. Then, the encrypted identification of the user is stored in a second submission table in the confidential information database. The first private key is provided to a first component to decrypt the confidential information, without providing the second private key to the first component.

Abstract: Techniques for standardizing and deduplicating unpaid job postings obtained from third-party systems are described. An unpaid job posting is obtained by a social networking service from a third-party system. The title and description of the unpaid job posting are standardized and combined into a standardized unpaid job posting. A deduplication process is performed to prevent the standardized unpaid job posting from replacing a paid job posting within the social networking service, and to prevent the standardized unpaid job posting from replacing a more authoritative, unpaid job posting within the social networking service.

Abstract: A system and method for determining similar members in an organization is disclosed. In some example embodiments, the social networking system receives a request for a particular job listing from a client system associated with a first member of a social networking system. The social networking system determines a first employment role for a job associated with the particular job listing. The social networking system identifies a source organization for the particular job listing. The social networking system identifies one or more similar members, wherein each identified similar member is associated with the source organization and has an employment role similar to the first employment role. The social networking system communicates the particular job listing and the identified one or more similar members to the client system for display.

Abstract: System and methods for generating recommendations based on a determined skill gap are disclosed. A social networking system determines an employment role associated with a particular job listing, wherein the particular job listing has an associated source organization. The social networking system identifies one or more similar members associated with the source organization and having an employment role similar to the determined employment role. The social networking system generates a composite list of skills associated with the one or more similar members. The social networking system compares the skills included in the composite list of skills with a list of skills associated with the particular job listing to determine a list of missing skills.

Abstract: A system and method for determining likely co-workers for a particular job listing is disclosed. The social networking system receives a request for a particular job listing from a client system associated with a first member of a social networking system. The social networking system determines one or more likely co-workers for a job described in the particular job listing. The social networking system communicates the particular job listing and member information for the determined one or more likely co-workers to the client system for display.

Abstract: Techniques for presenting a personalized job posting are described. A job publisher can access member data of a first member from a member database and a plurality of job postings from a job database. A job score for each job posting in the plurality of job postings can be calculated based on the profile data of the first member and the job data for each job posting. Additionally, a relevant job posting for the first member can be determined based on the calculated job score for each job posting in the plurality of job postings. Moreover, a second member for the relevant job posting can be selected based the social graph data of the first member and the job data for the relevant job posting. Furthermore, a presentation of the relevant job posting can be on a display of a device of the first member.

Abstract: Techniques for ingesting job listings are described. A job ingestion module of a social network system can access a seed uniform resource locator (URL), and identify a job URL from the seed URL. Additionally, the job ingestion module can obtain job attributes from the job URL. Furthermore, the job ingestion module can validate the obtained field attributes using member data from the social network system. Moreover, the job ingestion module can generate a job listing based on the validated job attributes. Subsequently, the job ingestion module can post the generated job listing.