Patent application number | Description | Published |
20130129076 | INTERACTION MANAGEMENT - A company/organization is enabled to optimize sessions from an agent's perspective across multiple channels. Actions may be performed, such as monitoring the journey of a user across a self service application, raising alerts to the agent based on the journey, selecting an appropriate agent to whom a session may be routed, raising alerts for a supervisor, enabling the supervisor to track sessions and intervene if required, enable the agent to run commands from an interaction window, push links to launch applications to supplement the primary interaction through appropriate mechanisms, show appropriate responses to the agent on analyzing the session, and providing shortcut keys for the agent to allow the agent to insert appropriate responses into a chat session. Analysis is provided for the sessions, data is extracted from the sessions, and appropriate forms are populated with the data from the session and with agent information. | 05-23-2013 |
20140219437 | Interaction Management - A company/organization is enabled to optimize sessions from an agent's perspective across multiple channels. Actions may be performed, such as monitoring the journey of a user across a self service application, raising alerts to the agent based on the journey, selecting an appropriate agent to whom a session may be routed, raising alerts for a supervisor, enabling the supervisor to track sessions and intervene if required, enable the agent to run commands from an interaction window, push links to launch applications to supplement the primary interaction through appropriate mechanisms, show appropriate responses to the agent on analyzing the session, and providing shortcut keys for the agent to allow the agent to insert appropriate responses into a chat session. Analysis is provided for the sessions, data is extracted from the sessions, and appropriate forms are populated with the data from the session and with agent information. | 08-07-2014 |
Patent application number | Description | Published |
20150112765 | SYSTEMS AND METHODS FOR DETERMINING RECRUITING INTENT - Techniques for identifying members of a social network service that exhibit recruiting intent are described. According to various embodiments, a set of members of an online social network service that self-identify as recruiters may be identified. The set of members that self-identify as recruiters may then be clustered into a group of engaged recruiters and a second group of non-engaged recruiters, and the group of engaged recruiters may be categorized as members exhibiting recruiting intent. Behavioral log data associated with the members exhibiting recruiting intent may then be accessed and classified as recruiting intent signature data. Thereafter, prediction modeling may be performed based on the recruiting intent signature data and a prediction model, to identify members of the online social network service that are associated with behavioral log data matching the recruiting intent signature data. | 04-23-2015 |
20150339404 | INFERRING SENIORITY LEVEL OF A MEMBER OF AN ON-LINE SOCIAL NETWORK - An inferred seniority system, in one example embodiment, may be configured to determine seniority levels for member profiles maintained by an on-line social network system, based on information stored in the member profiles, and also based on a hierarchical structure termed a seniority pyramid. The system may first determine seniority labels for each of the profiles in a group of member profiles based on information in respective member profiles. The system then determines, for groups of profiles that are given their respective seniority labels, percentages of profiles associated with respective seniority labels. Respective seniority levels for the groups of profiles are determined based on respective percentages of profiles associated with respective seniority labels and the percentage ranges associated with seniority levels that are stored in the seniority pyramid structure. | 11-26-2015 |
20160065604 | ANOMALOUS EVENT DETECTION BASED ON METRICS PERTAINING TO A PRODUCTION SYSTEM - A machine may be configured to detect an anomalous event based on metrics pertaining to a production system. For example, the machine analyzes a time series of values associated with a metric pertaining to a production system. The machine identifies a pattern associated with the time series based on the analysis of the time series. The pattern may describe an occurrence of particular values at particular timestamps of the time series. The machine determines a range of potential values for a next timestamp in the time series based on the pattern. The machine assigns a score value to an actual value associated with the metric and corresponding to the next timestamp. The assigning of the score value may be based on a comparison of the actual value and the range of potential values. The machine identifies the actual value as a candidate for an alert based on the score value. | 03-03-2016 |
20160092840 | FORECASTING JOB APPLICANT DATA FOR A JOB POSTING - Techniques for upselling a limited job posting to a premium job posting are described. A determination module can access job listing data from a limited job. Additionally, the determination module can access member data from a social network. Furthermore, the determination module can determine a value for the limited job posting based on the accessed job listing data and the accessed member data. Moreover, the determination module can generate a job application based on the accessed job listing data and the accessed member data, when the determined value is above a predetermined threshold. Subsequently, the determination module and an upsell module can upsell the limited job posting to a premium job posting by using the generated job application data. In some instances, the upsell module can market to the job poster in order to upsell the limited job listing, and fill empty job slots already paid by the job poster. | 03-31-2016 |
20160092890 | MULTIDIMENSIONAL MONITORING AND ALERTING OF BUSINESS METRICS - Techniques for multidimensional monitoring and alerting of business metrics of an online system are described. According to various embodiments, a user specification of a business metric associated with operations of an online social networking system, and multiple dimensional values that are included in the business metric, are received. A revenue-impacting event corresponding to a change in a specific one of the dimensional values is then detected. Thereafter, it is determined that the revenue-impacting event is caused by a release of a particular online service associated with the online social networking system. A notification specifying the revenue-impacting event, and indicating that the revenue-impacting event was caused by the release of the particular online service, is then displayed. | 03-31-2016 |