A store cooperation support apparatus (1) according to the present invention includes: an acquisition unit (11) that acquires, through a sales site of a first store (an online store 2) capable of selling a predetermined product online, a trial request including date and time information indicating a date and time at which a predetermined customer wants to try the product in a physical store; and a setting unit (12) that sets a disclosure period for disclosing, based on the date and time information, disclosure information including interest information of the customer about the product in the first store to a second store (a physical store 4 or 5) capable of physically selling the product.

A subsequent meeting related to a previous meeting is scheduled, e.g., as a follow-up or forward-to meeting. A session recording of the previous meeting has been generated. Historical data of the previous meeting, e.g., identifiers of attendees, is used to populate fields of an invite form for scheduling the subsequent meeting, along with an indication of the session recording. In some embodiments, the identifiers of the invitees of the subsequent meeting are selected, without user input: from the identifiers of the attendees of the previous meeting, based on a relationship of the invitees of the subsequent meeting to the attendees of the previous meeting, or based on a relationship of the invitees of the subsequent meeting to a subject of the previous meeting. In some embodiments, the session recording of the previous meeting can be presented for review prior to a start time of the subsequent meeting.

Graphically movable objects are rendered that automatically populates properties of the meeting with a predetermined meeting type and a duration. In response to placement of a selected graphically movable object on a calendar, a start time for a scheduled meeting is determined. The scheduled meeting is added to the calendar having the start time and the predetermined meeting type.

A method for use in a computing device, comprising: receiving an invite for a communications session; obtaining context information associated with the invite; generating a signature for the invite based on the context information; generating an attendance score for the invite by evaluating a neural network based on the signature for the invite, the attendance score being an estimate of a degree of importance of attending the communications session; generating a response to the invite based on the attendance score, the response indicating whether a user of the computing device accepts or rejects the invite; and transmitting the response to a sender of the invite.

A meeting server includes at least one processor and at least one memory storing program code performing operations that include to establish tracking of a tracked person's scheduled meetings by a follower person. The meeting server also operates to generate a notification to a device of the follower person based on the tracked person adding a scheduled meeting to a schedule of scheduled meetings maintained by a meeting scheduling program.

An online dating service provides matchmaking by finding a relationship match based on a comparison of preferences of one person to personal information of the other, and a compatibility score derived by comparing answers of the two persons to several surveys. The interested person can set a threshold value for the compatibility score to cull low-compatible matches, and can view a match's answers to decide if they want to proceed with an in-person meeting. Once both parties agree, an invitation is sent to set up the in-person meeting by asking each party to pay a one-time fee. If both parties confirm the invitation, the server debits their accounts and enables a date setup protocol. That protocol automatically selects one of the parties as a date initiator based on their genders and indications from each of them as to whether or not they want to decide the date details.

An electronic device for providing graphic data based on a voice, and an operation method therefor are provided. The electronic device includes a display, and a processor, and the processor is configured to obtain at least one keyword from a voice signal related to a plurality of images, determine at least one graphic data corresponding to the at least one keyword, select at least one of the plurality of images, based on a point in time at which a voice corresponding to a keyword that corresponds to the determined graphic data is output, and perform control so as to apply the determined graphic data to the at least one selected image.

Technologies are disclosed for determining or predicting the occurrence of a macrophage activation syndrome, such as hemophagocytic lymphohistiocytosis (HLH). A detection of the emergence of and/or a reliable estimation of the likelihood of future significant macrophage activation syndromes, such as HLH, may be determined or predicted from a time series of laboratory and physiologic values to be measured in a patient. Root mean square of successive deviations (RMSSD) is utilized as a surrogate non-parametric measure of the high-frequency power spectral density (PSD) to identify strong statistical associations with the presence and/or near-term future emergence of macrophage activation syndromes. Utilizing these input variables, a model having satisfactory predictive accuracy is constructed using linear discriminant analysis (LDA), gradient boosting, random forest (RF), neural network, logistic regression, or the like, and may be used for the prediction.

Methods to reduce agent effort and improve customer experience quality through artificial intelligence. The Agent Assist tool provides contact centers with an innovative tool designed to reduce agent effort, improve quality and reduce costs by minimizing search and data entry tasks The Agent Assist tool is natively built and fully unified within the agent interface while keeping all data internally protected from third-party sharing.

Systems and methods are described for providing an email assistant options bar. An assistant engine of an email application can identify contacts of a user profile that the user interacts with the most frequently based on a set of rules. When a user interacts with an email in the email application using a predetermined input type, the assistant engine can display the email assistant options bar. The email assistant options bar can include icons representing the identified contacts that the user interacts with the most frequently and a set of actions that can be performed to interact with the contacts. Some examples of actions can include forwarding the selected email, calling a contact, and setting up a meeting. The user can select one or more of the contacts and one of the actions. The assistant engine can perform the selected action with the selected contact as the recipient.