20 results about "Item selection" patented technology

A computing system is disclosed for generating fulfillment-ready coordination sessions based on tokenized item data and user-submitted participation parameters. The system ingests structured, semi-structured, or unstructured item data from merchant sources and applies schema-aligned transformation logic to normalize the data into structured item representations. The normalized records are tokenized into machine-readable item tokens that encode fulfillment constraints and canonical attributes. The system receives user item selections and associated participation parameters, encodes the item tokens and participation data into structured vector embeddings, and applies compatibility scoring logic using vector comparison and rule-based threshold evaluation. Compatibility scores are evaluated against session eligibility constraints derived from the item tokens. When eligibility conditions are met, the system generates a coordination session payload comprising match outcomes, proportional pricing, and fulfillment metadata, and issues orchestration instructions to external fulfillment systems for group-based delivery or preparation execution.

The invention relates to an e-commerce live broadcast intelligent item selection method and system. The method comprises the following steps: S1, constructing a multi-dimensional commodity selection criterion system, and collecting original data of a to-be-recommended commodity under each criterion; step S2, subjective weight calculation; s3, objective weight calculation; and S4, carrying out weight fusion and scheme evaluation. According to the method, weight quantification verification is performed through the analytic hierarchy process and the entropy weight method, and the fusion coefficient is dynamically adjusted in combination with the business scene, so that the problems of subjective experience contradiction, poor cold start adaptability and low decision transparency of traditional product selection are solved, and an experience quantification-data verification-weight fusion decision chain is formed; and finally, the product selection scientificity is improved, the scene adaptability is enhanced, and the decision transparency is improved.

1. Name of the product in this design: Graphical User Interface for Selecting Goods for Electronic Devices. 2. Purpose of this design: An electronic device. 3. The key design feature of this product is its graphical user interface. 4. Images or photos that best illustrate the design points: Design 1 Interface change state diagram 2. 5. Design 1 is designated as the basic design. 6. Purpose of the graphical user interface: The interface is used to allow customers to receive a free gift after placing an order and then give it to a friend. 7. Human-computer interaction method of graphical user interface: In the main view of Design 1, when the user clicks the "Buy" control at the bottom of the interface, the interface changes to state 1 in Design 1; when the user clicks the "Submit Order" control, the interface changes to state 2 in Design 1. In the interface change state diagram 2 of Design 1, users can click the "Send to Friend" control to send the merchant's gift to a friend. Design 2 uses the same human-computer interaction method as Design 1.

In an example, sets of event information associated with events may be identified. The events may include intentional click events, accidental click events and / or skip events. Accidental click probabilities associated with the accidental click events and / or the skip events may be determined. Machine learning model training may be performed, using the sets of event information associated with the events and labels associated with the events, to generate a first machine learning model. The labels may include second labels associated with the intentional click events and / or third labels associated with the accidental click events and / or the skip events. The second labels may correspond to an intentional click classification. The third labels may be based upon the accidental click probabilities. Click probabilities associated with content items may be determined using the first machine learning model. A content item may be selected for presentation via a client device based upon the click probabilities.

A system and method for item sorting that can include an item selection unit with a robotic pick-and-place machine positioned adjacent to a defined input item region; an item sortation unit comprising a horizontal multi-degree-of-freedom gantry system and an item tote array, wherein the horizontal gantry system is positioned above the item tote array; wherein the item sortation unit further comprises an item holding and depositing system that is coupled to and actuated by the gantry system. The system and method can singulate an item from a collection of items and sort into one of a set of item totes.

The present disclosure relates to a virtual item processing method and device, electronic equipment and storage medium. The method comprises: displaying virtual item touch information on a live page; in response to a triggering operation on the virtual item touch information, displaying a virtual item selection page; the virtual item selection page includes a plurality of preset virtual item image identifiers corresponding to each virtual item; in response to a selection operation on a target image identifier, at least one item component corresponding to a target preset virtual item is displayed; in response to a selection operation on a target candidate component in the at least one item component, a target recombined virtual item is displayed; the target recombined virtual item is generated by updating the components of the target preset virtual item based on the target candidate component. The present disclosure can refine the component granularity of virtual items and enrich the presentation style of virtual items.

This image is related to item selection for setting up a water heater. Selecting up or down changes the position and display content of the item selection section, allowing the operator to specify the item they want to select. The scroll display section indicates the vertical position of the item currently selected by the operator in the item selection section, and the direction display section indicates the directions in which the operator can operate. For example, if there are items that can be selected downward in addition to the items displayed on the screen, the direction display section is displayed at the bottom of the scroll display section; if there are no items that can be selected downward in addition to the items displayed on the screen and operation is only possible upward, the direction display section is displayed at the top of the scroll display section.

Generating an output prioritized list of computerized work-items for prioritizing work based on a set of weighted computer-executable rules includes a structured way of associating contributions and expenses with computerized work-items and enhancing current technological processes of selecting computerized work-items to meet weighted computer-executable rules. The method includes assigning a weighted score to the contribution and expense sub-components based on a weighted computer-executable rule associated with those sub-components, determining a value score for each computerized work-item using the weighted scores, sorting the computerized work-items of the input master list in descending order of the value score to obtain a sorted list of computerized work-items, and traversing the sorted list of computerized work-items to generate the output prioritized list of computerized work-items for prioritizing work based on weighted computer-executable rules.

The invention relates to an expression item interaction method, electronic equipment, a storage medium and a product, and relates to the technical field of computers. The expression item interaction method comprises the following steps: displaying an expression item selection interface; based on the obtained first decoration element, at least one first decoration expression item corresponding to the first basic expression item is displayed on an expression item selection interface, and the at least one first decoration expression item is generated according to the first basic expression item and the at least one first decoration element; and based on a determination operation on the first decorative expression item, sending the determined first decorative expression item as interaction information. According to the embodiment of the invention, the basic expression items can be decorated to obtain more available expression items, the richness of a user expression library is improved, and the interaction efficiency of the user is improved.

A recommendation system is disclosed. The recommendation system may receive a sequence of items selected by a user. Based on the sequence of items, the recommendation system may recommend one or more items. To do so, the recommendation system may apply a graph neural network. The recommendation system may receive a second sequence of items that includes the first sequence of items plus one or more items. Based on the second sequence of items, the recommendation system may recommend one or more different items by applying the graph neural network.

To provide a purchase article selection support device for smoothly providing purchase article selection support services for promoting emission reduction of carbon dioxide.SOLUTION: A purchase article selection support device is capable of providing information on product options through a communication line. The purchase article selection support device includes: a management section for creating sales information containing at least environmental value related information on a product and the global environment related to the product, and authentication information indicating that the environmental value related information is authenticated by an authenticator; and a communication section for providing the sales information to a first communication terminal of a purchaser through the communication line. The management section creates purchase information containing information on a purchaser, in the case that a product in the sales information has been selected using the first communication terminal. The communication section transmits the purchase information to a second communication terminal of a seller of the product selected by the purchaser, through the communication line.SELECTED DRAWING: Figure 3

Embodiments of the present application disclose an order processing method and device, electronic equipment and storage medium. Including: receiving the current order of the target user under the target platform, determining the current associated item information corresponding to the current order, the target user is a user who orders multiple times on the target platform; determine the associated item selection rule corresponding to the current order, determine the associated item selection mode and the order screening period of the associated item selection rule; obtain the historical order of the target user within the order screening period, obtain the historical associated item information; according to the current associated item information and the historical associated item information, according to the associated item selection rule of the associated item selection mode, the target associated item information, and fill in the current order. The technical scheme of the embodiments of the present application realizes the intelligent selection of the associated item information in the order, reduces the repetition rate of the associated items of each user in the target platform, and improves the processing efficiency of the order.

The present invention relates to systems and methods for haptic feedback for selection of menu items in a teleoperated system. The haptic feedback method includes providing a teleoperated control system including a first mode of operation for operating a teleoperated instrument in response to movement of a control device in a first degree of freedom and a second mode of operation for controlling a graphical user interface. The method further includes entering the second mode of operation of the teleoperated control system. While in the second mode of operation, the method includes tracking movement of the control device in a second degree of freedom that is different from the first degree of freedom. While in the second mode of operation and in response to movement of the control device in the second degree of freedom, the method includes applying a first haptic force to the control device by the teleoperated control system.

In some embodiments, systems and methods are provided herein useful to generating item recommendations. In some embodiments, a system for item recommendation may include a memory storing an item recommendation model trained using dense representations for items, the dense representations generated based on an item interaction graph including nodes corresponding to items for sale in a retail facility, edges connecting the nodes, and edge weights for the edges, wherein the edge weights are related to item selection sequence of the items, and a control circuit coupled to the memory, the control circuit configured to receive an indication of an item selection by a user in the retail facility, generate a recommendation for a suggested next item based on using the item selection as an input of the item recommendation model, and cause the one or more suggested next best items to be presented to the user for potential selection.

The present invention relates to systems and methods for haptic feedback for selection of menu items in a teleoperated system. The haptic feedback method includes providing a teleoperated control system including a first mode of operation for operating a teleoperated instrument in response to movement of a control device in a first degree of freedom and a second mode of operation for controlling a graphical user interface. The method further includes entering the second mode of operation of the teleoperated control system. While in the second mode of operation, the method includes tracking movement of the control device in a second degree of freedom that is different from the first degree of freedom. While in the second mode of operation and in response to movement of the control device in the second degree of freedom, the method includes applying a first haptic force to the control device by the teleoperated control system.

An electronic device and method enhance the shopping experience by predicting delivery data deviations. The system operates within an electronic shopping environment, detecting user input for item selection and receiving proposed delivery data. The processors predict the accuracy of this data, identifying deviations beyond a threshold. When deviations occur, the system presents a prompt on the user interface, highlighting the discrepancy. The method can receive delivery data at user, item, and seller levels, and referencing historical delivery efficiency databases. The system can propose alternative items with lesser deviations, allowing users to make informed decisions. The device comprises a user interface, memory, and processors that determine predicted deviations and present prompts, enhancing reliability and satisfaction in e-commerce transactions.

This application provides a method, apparatus, device, and medium for processing virtual item transaction information, relating to the field of item transaction technology. The method includes: providing a first graphical user interface (GUI) on a first terminal device of a buyer user, displaying seller transaction asset information for at least one virtual item for sale on the GUI; responding to a virtual item selection operation input by the buyer user; displaying a counter-offer interface for the first virtual item selected in the GUI; responding to a first counter-offer configuration operation input by the buyer user; determining the transaction item information for the first virtual item; determining total asset valuation information based on preset asset valuation information for each second virtual item in the transaction item information; and finally generating and sending a counter-offer plan for the first virtual item to the second terminal device of the seller user based on the total asset valuation information, thereby reducing the time required for the buyer user to purchase the first virtual item.

An online system receives orders from users and fulfills the orders by dispatching a picker to a physical source to obtain the items for delivery.  Some items in an order may be considered “foundational,” meaning that a user who ordered the items may wish to cancel one or more other items in the order if the foundational item is unavailable (e.g., the item is a critical ingredient for a recipe).  The online system predicts items in the order that are foundational using a trained machine-learning model.  The online system presents the items to the picker in a sequence so the foundational items are obtained earlier by the picker. This enables the picker to observe whether the determined foundational item is available sooner in the picking process, allowing earlier performance of a remedial action and possibly avoiding replacing previously obtained items affected by the unavailability of the foundational item.

Mitigating latency in guiding a user, during an interaction between the user and a computing system, in selecting a subset of item(s), from a superset of candidate items, and causing performance of further action(s) based on the selected subset of item(s). In guiding a user in selecting the subset of items, various implementations enable the user to provide only spoken input(s) in selecting the subset of item(s), and provide visual output(s) that are responsive to the spoken input(s) and that guide the user in selecting the item(s). In some of those various implementations, there is not any (or there is only de minimis) audible spoken synthesized spoken output rendered by the computing system in guiding the user in selecting the subset of item(s).

A method for selecting a virtual item is provided. In the method, an item selection element is displayed. An item selection control interface is displayed based on a continuous touch operation that is initially performed on the item selection element. The item selection control interface includes at least one candidate virtual item. The selected virtual item is determined as one of the at least one candidate virtual item included the item selection control interface when an end point of the continuous touch operation corresponds to the one of the at least one candidate virtual item in the item selection control interface. Apparatus and non-transitory computer-readable storage medium counterpart embodiments are also contemplated.