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: Technologies for generating user activity features for machine learning models on demand are described. In some embodiments, the technologies receive a request for a user activity feature and a request timestamp from a machine learning model. The technologies determine a data access mechanism, a time window determined based on the request timestamp, and a feature computation algorithm. Using the data access mechanism, the technologies retrieve, from a real-time data store, event data for events having timestamps within the time window, and attribute data associated with the event data. The technologies compute a user activity feature using the retrieved event data and the retrieved attribute data as inputs to the feature computation algorithm, and provide the computed user activity feature to the machine learning model in response to the request for the activity feature.

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.