Abstract: Systems, methods, and other embodiments associated with automatically controlling a zoom level are described. In one embodiment, a method includes accessing a database and retrieving a plurality of data records based on at least one match parameter, wherein each data record is assigned to an employee and includes a scheduled time range in a work day for the employee. The data records are parsed and a minimum time and a maximum time from the scheduled time ranges are determined. The method controls a zoom level for a display for displaying the scheduled time ranges from the plurality of data records by determining a screen area in a user interface for displaying the scheduled time ranges, and generating a graphical timeline to fit between the minimum time and the maximum time and adjust a size of the graphical timeline based at least in part on the determined screen area.

Abstract: A computer-implemented method for monitoring commercial activities is described. In one embodiment, the method includes receiving information related to commercial activities at at least one of a plurality of locations, the information being collected at the at least one of a plurality of locations, and transmitting the collected information for at least one of the plurality of locations to a device located remote from at least one of the plurality of locations.

Abstract: A computer based system for determining even-spaced quantiles using class authorization level values and network values. Determining a curve and a set of revised values, and remapping based on the revised values.

Abstract: In a computerized remapping system for airline seat bookings, actual airline seat bookings are restated in a remapped form reflecting the value of each leg of the booking from a network perspective, facilitating improved demand forecasts for subsequent seat bookings. In this manner, seat protects and seat pricing may be better allocated to align with actual demand.

Abstract: The system determines even-spaced quantiles for network optimization. The system may utilize authorization level to expected network conversion. The system may be used in connection with yield management systems, inventory control systems, or revenue management systems.

Abstract: Systems and methods are disclosed for securing a meeting in a physical conference room with multiple meetings scheduled therein. A list of scheduled meetings for the physical conference room is received from a videoconference server that is configured to host a multi-endpoint conference meeting between a local endpoint associated with the physical conference room and at least one remote endpoint. A first meeting within the list of scheduled meetings is designated as a locked meeting. The list of scheduled meetings that do not have the locked designation associated with the physical conference room for display are displayed, whereas for the first meeting, display of meeting information is suppressed. The presence of a device associated with an entity invited to the first meeting is detected, and at least one resource in the physical conference room is unlocked for use in the first meeting when a received meeting identifier is verified.

Abstract: A computing system causes a plurality of display devices to display user interfaces containing portions of a canvas shared by a plurality of users. The canvas is a graphical space containing discrete graphical elements located at arbitrary locations within the canvas. Each of the discrete graphical elements graphically represents a discrete resource. When a user interacts with a resource in the set of resources, the computing system modifies the canvas to include an interaction element indicating that the user is interacting with the resource. The computer system then causes the display devices to update the user interfaces such that the user interfaces reflect a substantially current state of the canvas. In this way, the users may be able to understand which ones of the users are interacting with which ones of the resources.

Abstract: One or more RFID tags may be read. An electronic document associated with the RFID tag may be identified. One or more attributes associated with the electronic document can be identified. One or more workflows can be determined according to the attribute(s).

Abstract: A method for providing a forecast includes providing a multi-dimensional database storing data at a lowest level in a first dimension, calculating a first forecast at a level that is higher than the lowest level of a first dimension in the database, calculating a forecast for each category within the lowest level of the first dimension, aggregating a second forecast across a category at the lowest level of the first dimension based upon an aggregation of the calculated forecast for the category within the lowest level of the first dimension, determining a difference between the first forecast and the second forecast, creating a dummy category including a new category at the lowest level of the first dimension, and storing the difference in the dummy category at the lowest level of the first dimension.

Abstract: A method for analyzing web visitors using anonymized behavior production models begins with a website visitor accessing a website. The website includes a web beacon, which redirects the website visitor's browser to the server of a marketing services provider (MSP). The MSP server reads a cookie previously set by the MSP that includes an anonymous link. The anonymous link may be used to match data related to the website visitor that is maintained by the MSP, and browsing activity for that visitor is stored in an activity database from which periodic reports may be constructed for the website owner. The anonymous link is not associated with any personally identifiable information (PII), and thus privacy for the visitor is maintained.

Abstract: One or more processors receive operational data. The operational data includes two or more fields that contain an identical type of data as two or more fields within a master table. One or more processors generate a plurality of first unique identifiers from the two or more fields within the operational data and the master table. One or more processors determine a match between a pair of the plurality of first unique identifiers. The match is between a first unique identifier included in a operational data record and a first unique identifier included in a master table record. One or more processors determine a second unique identifier from the master table record. One or more processors generate an operational table record that includes the second unique identifier and at least a portion of the operational data.

Abstract: In an example embodiment, a machine-learning algorithm is used to train a talent peer model to output a score indicating a likelihood that one organization is a talent peer to another organization. Scores above a predetermined threshold indicate that the organization is a talent peer to the other organization.

Abstract: One embodiment of an existing customer lead generation system comprises a vendor customer information database, a vendor criteria database, a web server, a matching engine, and a transmission component. The vendor customer information database identifies vendor's existing customers. The vendor criteria database determines which leads each vendor wants to receive. Separate criteria may be specified for consumers that are existing customers and consumers that are not existing customers. The web server receives characteristics of a consumer and a product or service. The matching engine compares the consumer characteristics with the vendor customer information database to identify vendors for which the consumer is an existing customer. The matching engine applies existing, customer criteria to match the consumer with existing vendors. The matching engine applies non-existing customer criteria to match the consumer with other vendors.

Abstract: A system includes a data storage medium to store a plurality of user profiles and at least one work project, each of the work project including at least one task that is characterized by a task definition, and a processor to receive a request for work from a user, the processor including a task management engine to allocate the at least one task to the user based on the user profile and the task definition in response to the request for work.

Abstract: One or more portions of a phone conversation may be captured. Text results of the one or more portions of the phone conversation may be received. The text results may be obtained from conversion of the one or more portions of the phone conversation to text. Key phrases and respective task attributes mapped to the key phrases may be retrieved from a database. One or more key phrases from the key phrases may be identified in the text results. Text following the one or more key phrases in the text results may be assigned as one or more task attribute values of one or more task attributes mapped to the one or more key phrases. A task corresponding to the one or more task attribute values may be scheduled in a calendar.

Abstract: Example methods and apparatus to measure market statistics are disclosed. A disclosed example method includes identifying, by executing an instruction with a processor, a household including self reported data stored in a data source, retrieving, by executing an instruction with the processor, an Internet protocol (IP) address from the household, identifying, by executing an instruction with the processor, a hostname label based on a reverse resolve of the IP address, determining whether the hostname label matches the self reported data, with the processor, and when the hostname label matches the self reported data, correcting, by executing an instruction with the processor, an error metric of the data source by adjusting a weight value associated with the self reported data.

Abstract: Techniques for predicted performance may be provided. For example, a computing service may be implemented to analyze information about past performances of merchants associated with providing items to consumers. Based on the analysis, the computing service may generate a performance prediction model. Further, the computing service may use the performance prediction model to determine a predicted performance for a particular merchant. Information about the predicted performance may be provided to various users including, for example, consumer and merchants.

Abstract: Techniques are described for generating characterizations of time series data. In one example, a method includes extracting a trend-cycle component, a seasonal component, and an irregular component from a time series of data. The method further includes performing one or more pattern analyzes on the trend-cycle component, the seasonal component, and the irregular component. The method further includes, for each pattern analysis of the one or more pattern analyzes, performing a comparison of an analytic result of the respective pattern analysis to a selected significance threshold for the respective pattern analysis to determine if the analytic result passes the significance threshold for the respective pattern analysis. The method further includes generating an output for each of the analytic results that pass the significance threshold for the respective pattern analysis.

Abstract: Techniques are described for generating characterizations of time series data. In one example, a method includes extracting a trend-cycle component, a seasonal component, and an irregular component from a time series of data. The method further includes performing one or more pattern analyses on the trend-cycle component, the seasonal component, and the irregular component. The method further includes, for each pattern analysis of the one or more pattern analyses, performing a comparison of an analytic result of the respective pattern analysis to a selected significance threshold for the respective pattern analysis to determine if the analytic result passes the significance threshold for the respective pattern analysis. The method further includes generating an output for each of the analytic results that pass the significance threshold for the respective pattern analysis.

Abstract: A method of responding to a criterion-based request for information collected from users meeting the criterion while complying with a user-requested privacy requirement. In one embodiment a request is received for data comprising facial or audio expressions for users who meet the criterion. A program monitors activities indicative of user attention or user reaction based on face tracking, face detection, face feature detection, eye gaze determination, eye tracking, audio expression determination, or determination of an emotional state. When a user requests a high level of privacy, the timestream data collected for the user is aggregated with timestream data collected for other users into a statistical dataset by processing the timestreams to ensure the high level of privacy in the statistical dataset which is provided to a content provider without providing data collected for the user who has requested the high level of privacy.