Abstract: A companion advertisement is displayed on a control client which is also used to control the content being shown on a display client. The companion advertisement is related to a video or advertisement being displayed on the display client. Such a companion advertisement takes advantage of previously unused screen real estate and enables the user to interact with the advertisement or view further information without any interruption of the content being displayed on the display client. A server keeps the content displayed on the display client and control client synchronized. The server recognizes when a user is logged into both a display client and a control client and notifies the control client that an advertisement should be displayed. The control client then retrieves an advertisement related to the content on the display client.

Abstract: An information processing apparatus according to the present disclosure includes a controller configured to execute: determining whether to change a scheduled riding vehicle for a first user or not based on predetermined position information related to a first user's riding a first vehicle, before a scheduled time on which the first user is to board the first vehicle which the first user is scheduled to board at a first boarding place; extracting one or more candidate vehicles serving as alternative candidates for the first vehicle, when it is determined to change the scheduled riding vehicle for the first user; and changing the scheduled riding vehicle for the first user from the first vehicle to a second vehicle that is one of the one or more candidate vehicles, based on an approval by the first user.

Abstract: In order to facilitate automatic electronic calendar rescheduling in response to out-of-office statuses, systems and methods are described including receiving, by processors, an out-of-office notification associated with meeting attendees. The processors identify a need-to-reschedule meeting data item of respective need-to-reschedule meetings. The processors utilize a meeting scheduling machine learning model to predict a plurality of parameters of a meeting room object representing respective candidate rescheduled meetings based at least in part on schedule information and location information associated with the at least one need-to-reschedule meeting data items. The processors cause to display an indication of the respective candidate rescheduled meetings in response to the out-of-office notification on a screen of a computing device associated with the respective attendees.

Abstract: Systems and methods are disclosed to provide optimized scheduling of calendar events based on flexibility scores of calendar events. A flexibility score may be representative of a probability or likelihood that a calendar event can or will be rescheduled in response to a conflicting calendar event. Flexibility scores of calendar events may be calculated based on one or more factors, which may be weighted, using one or more machine-learning models. Factors may include: event densities of invitees' calendars, organizational rankings of respective invitees, the remaining time before an event start time, an urgency of respective calendar events, etc. In this way, if open time slots are not available for all invitees to a proposed calendar request, an event organizer may identify time slots occupied by existing calendar events with the highest likelihood of being rescheduled in view of the proposed calendar event, thereby facilitating scheduling of the proposed calendar event.

Abstract: A network computer system can implement a hierarchical selection process to fulfill the scheduled transport request. The hierarchical selection process can include a first selection process and a second selection process. The first selection process can include assigning a transport provider to fulfill the scheduled transport request. Additionally, the first selection process can include disassociating the transport provider with the scheduled transport request upon determining that the transport provider is unable to fulfill the scheduled transport request at the scheduled time. The second selection process can be implemented at a specified time prior to the scheduled time and can include selecting a backup transport provider.

Abstract: A system and method for enhancing assignment of debtor accounts to a plurality of collection parties is presented. The preferred embodiment is capable of optimizing the way by which individual performance entities are assigned to collect on actionable individual debtor accounts by a creditor. An analysis solution uses algorithms to analyze gathered data and to provide a score to each collection party based upon the traits of the individual collection parties, debtor accounts, creditor, externally acquired data, and constraints upon all of the parties involved. The system and method are also capable of enhancing an individual borrower's credit score depending on the risk involved with providing credit to that particular borrower based upon the collectability upon default. One embodiment of the invention would include a risk analysis and compliance assessment system for supply entities to evaluate potential performance entities or other entities.

Abstract: Methods and systems for suggesting electronic collaborative user groups to a user account based on user account activity. The method includes identifying one or more event records corresponding to a user account. Each of the one or more event records identifying an interaction between a client device of the user account and a server computing system and corresponding to one or more themes associated with a given team. The method further includes calculating a theme score for the user account based on the retrieved one or more event records. The theme score based at least in part on the number of identified event records. The method also includes determining whether the calculated theme score exceeds a predetermined threshold score, and in response to determining that the calculated theme score exceeds the predetermined threshold score, facilitating connection of the user account and the team associated with the theme.

Abstract: Predicting business outcomes for a target user includes generation of predictor models based on test data of tests users. The test data includes historical data of the test users, resumes of the test users, and answers provided by the test users to psychometric questions. The predictor models are then used to predict psychometric features and business outcomes based on target data of the target user. The target data includes a resume of the target user, historical data of the target user, and answers provided by the target user to the psychometric questions.

Abstract: Aspects described herein relate to a flexible order fulfillment management system that utilizes predefined fulfillment workflows including common business processes. By utilizing predefined workflows including common business processes, the order fulfillment management system is able to drive store-based fulfillment programs efficiently as multiple fulfillment workflows may utilize the same common business processes and a single fulfillment management system may operate workflows in parallel. In addition, such an order fulfillment management system may also be more easily adapted for different retail store environments as the system allows a designer to easily create or modify a fulfillment workflow by selecting predefined common business processes or creating any additional custom business processes.

Abstract: The present invention includes: a first divider that divides time series data measured at a normal time into periodic data in period units; a reference data generator that generates reference data based on a plurality of pieces of periodic data; an allowable error calculator that calculates an allowable error of a divergence value, based on the time series data of the normal time and the reference data the divergence value indicates a degree of divergence from the reference data; a divergence value calculator that calculates a divergence value between time series data for detection, the time series data for detection is a detection object for detection of a non-normal state; and a detector that detects the non-normal state in accordance with whether or not the divergence value is within a range of allowable errors.

Abstract: A construction management system includes a construction amount data calculation unit configured to calculate, based on a current landform and a design landform of a construction site, construction amount data of the construction site, an original unit data acquisition unit configured to acquire original unit data indicating a specific condition of a work device that constructs the construction site, a construction plan data calculation unit configured to calculate, based on the construction amount data and the original unit data, a construction plan corresponding to a target construction period, and a construction cost required when construction is executed using the construction plan, and a construction plan data output unit configured to cause an output device to output the construction cost corresponding to the target construction period.

Abstract: In a computer-implemented method for goal tracking goal tracking information is accessed, wherein the goal tracking information comprises user activities and contact information associated with said the activities. Goal tracking information is automatically correlated. A report comprising the goal tracking information is periodically and automatically generated.

Abstract: A project analysis and recommendation system having a user interface configured to receive user input regarding a project and various project parameters; one or more sets of computer instructions, a user skill database, and a candidate skill database; and a processor configured to implement the one or more sets of computer instructions from the non-transitory computer readable medium. The processor configured to perform the following tasks: analyze the user skill database; determine a match between the plurality of necessary competencies and one or more user profiles; analyze the candidate skill database; determine a match between the plurality of necessary competencies and one or more potential candidate profiles; and generate a user recommendation relating to an internal assignment of the project, user training, an external assignment of the project, or an external candidate hire.

Abstract: One embodiment sets forth technique for computing a similarity score between two digital items is computed based on interaction histories associated with global users and interaction histories associated with local users. Global counts indicating the number of interactions associated with each unique pair of digital items are weighted based on a mixing rate. The weighted global counts are then combined with local counts to compute total counts. An effective interaction probability indicating the likelihood of a user interacting with one digital item in the pair of digital items after interacting with the other digital item in the pair is computed based on the total counts. The effective interaction probability is then corrected for noise, resulting in a similarity score indicating the similarity between the pair of digital items.

Abstract: Contemplated herein is a system and method for answering user queries, the system and method including a tracked user skill database, a historical database, and a training content database wherein processing circuitry can determine a tool being utilized by a user; receive a user input query; tokenize the user input query and associate one or more tokens with the user input query; and search the databases so as to match the query with content within the databases. The system can then present potential matches to the user and receiving input regarding user satisfaction with regard to the potential matches presented. If the answer is not satisfactory the system can then analyze the tracked user skill database for user profiles indicating proficiency in the matched feature of the query.

Abstract: Embodiments select demand forecast parameters for a demand model for one or more items, receive historical sales data for the items on a per store basis and receive a plurality of seasonality curves for a first item. Embodiments determine a repeatability of each of the seasonality curves using a correlation of each seasonality curve over year to year demand and retain a first seasonality curve based on the repeatability. Embodiments determine a smoothness of the first seasonality curve and determine a sparsity of the first seasonality curve. Based on the determined repeatability, smoothness and sparsity, embodiments determine that the first seasonality curve is reliable and repeat the receiving the plurality of seasonality curves, determining the repeatability, determining the smoothness, and determining the sparsity to determine a plurality of reliable seasonality curves. Embodiments use the demand model and the reliable seasonality curves and determine a demand forecast for the first item.

Abstract: In some examples, artificial intelligence and machine learning based project management assistance may include ascertaining an inquiry by a user. The inquiry may be related to a project. An attribute associated with the user and an attribute associated with the project may be ascertained. The inquiry may be analyzed based on the ascertained attributes associated with the user and the project. A predictor category may be identified, based on the analyzed inquiry, from a plurality of predictor categories that include a performance predictor category, a quality predictor category, a retrospect predictor category, and a planning predictor category. A predictor from a plurality of predictors may be identified based on the identified predictor category. A response to the inquiry may be generated based on execution of the identified predictor. Further, a display responsive to the inquiry may be generated based on the generated response.

Abstract: A vehicle dispatch management device includes an option presentation unit configured to present an option of whether or not a purpose of use of an autonomous driving vehicle is to take a rest within a vehicle to a user who requests dispatch of the autonomous driving vehicle, an option reception unit configured to receive the option selected by the user, and a feature information presentation unit configured to present first information representing a first feature of the vehicle as a dispatch vehicle candidate to the user when the option reception unit receives the option indicating that the purpose of use is not to take a rest within the vehicle, and presents second information representing a second feature of the vehicle as the dispatch vehicle candidate to the user when the option reception unit receives the option indicating that the purpose of use is to take a rest within the vehicle.

Abstract: A project analysis, and match recommendation system having a user interface configured to receive user input regarding a project and associated parameters. The system also includes one or more processors configured to implement one or more sets of computer instructions which instruct the one or more processors to analyze a worker skill database having a plurality of worker profiles and associated worker skill proficiencies associated with one or more particular worker proficiencies; and determine a match between a plurality of particular required project competencies and one or more worker profiles having one or more particular worker proficiencies so as to facilitate optimal project assignment or placement.

Abstract: Methods and systems are described for matching contributor skills to required skills in source code programming projects in order to provide more agility for the project team. For example, to provide more agility, the methods and system track contributor skills and assign contributors to contributions based on one or more of a plurality of skills of a contributor not corresponding to a skill required for the project. The methods and system may nonetheless maintain workflow velocity in the source code programming projects.