35 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.

Methods and systems for predicting relevant items to be presented to a user in an online environment. The methods and systems described herein generate models based on previous item selections to determine an overall model useable to generate item recommendations. In some examples, an item-level and category-level Hawkes process may be used, modeling a combination of an exponential distribution for short-history effects and Gaussian mixture probabilities to account for extended time period effects.

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.

Methods and systems for displaying, to a user interface, categories of items for the user to select from for querying the system, in order to enable the system to return to the user images of items of the type desired by the user for possible purchase. The items categories of items can be presented to the user interface visually in silhouette form so that the user can select brand and the silhouette image of the type of item desired. Upon selection of the silhouette image, a query is sent to the system and images of the desired type of item are returned to the user interface for presentation to the user, along with certain attributes of the items.

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.

The disclosure herein provides systems, methods, and devices for determining and displaying market relative positions and / or attributes of unique items. A visualization system for generating electronic visualizations of market-relative attributes of unique items comprises an item selection receiver, a visualization compilation engine, and a rendering engine.

The present invention is a valuation system of game events and a valuation method performed thereby, and in order to provide a contest game for a plurality of players to play, the valuation system includes a data storage unit, an item selection unit, a plurality of user units, a data calculation unit and a central processing unit; and a program of the valuation method includes a creating contest program, a joining contest program, a creating rating item program, a selecting member program, a waiting contest program, an acquiring data program, and a calculating ranking program.

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.

The invention discloses a data processing method and device, electronic equipment and a storage medium. According to the scheme, at least one to-be-selected item corresponding to a target user is obtained; determining a plurality of target functions corresponding to the at least one item to be selected, wherein the plurality of target functions at least comprise a first target function corresponding to an item return attribute, a second target function corresponding to an item risk attribute and a third target function corresponding to an item resource flow attribute; optimizing the plurality of objective functions according to a multi-objective particle swarm optimization algorithm to determine at least one type of target project configuration information when a constraint condition is satisfied, the target project configuration information comprising target project weight information corresponding to at least one to-be-selected project; and based on the at least one type of target item configuration information, generating item selection reference information for the target user. Accurate item selection reference information is provided, the method can adapt to complex market environment changes, and the item selection requirement of the target user is met.

Generating an output prioritized list of computerized work-items for prioritizing work based on a set of prioritized 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 prioritized computer-executable rules. The method includes determining an electronic priority order of each of contribution sub-components and expense sub-components based on prioritized computer-executable rules, generating a tuple having contribution sub-components and expense sub-components for each of the computerized work-items, sorting the computerized work-items of the input master list in descending order of the contribution and expense sub-component tuples 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 prioritized computer-executable rules.

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 present invention relates to an item recommendation method, device, electronic device, and storage medium. The item recommendation method includes: obtaining keywords input by a user regarding an item to be recommended and personalized information of the user; determining a second knowledge graph based on the personalized information and a preset first knowledge graph, wherein the first knowledge graph includes label words for multiple items; determining label words and / or label word combinations that match the keywords in the second knowledge graph; determining items that match the label words and / or label word combinations based on preset item-label correspondences, and recommending them. The embodiment of the present application automatically recommends items or item combinations that meet the user's personalized needs based on the keywords input by the user without the user needing to understand the parameters of the items, thereby improving the efficiency of the user's item selection and facilitating user use.

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

An injection molding machine, includes: a storage device configured to store change information entities related to a plurality of items included in a molding condition; a display device configured to display a set screen for setting a set value to at least one item of the plurality of items; an input device configured to input an item selection operation to select one item from the items in the set screen displayed on the display device; and a control device configured to cause the display device to display an item setting history screen including a change information entity display section to display only the change information entity related to the item selected by the item selection operation superimposed on the set screen.

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.

To enable a user to easily select a desired item in an item selection list appearing in response to his or her prescribed operation.SOLUTION: An item selection unit comprises a list display unit 11a which displays an item selection list in response to detecting the execution of a first operation, a provisional selection unit 11b which sequentially sets a plurality of items included in the item selection list to a provisional selected state in response to detecting the execution of a second operation in a position where the first operation was executed, and an item selection unit 11c which settles selection of an item provisionally selected at the time of detecting a third operation different from the second operation, in response to detecting the execution of the third operation. The second operation performed in the position where the first operation was performed for displaying the item selection list allows for sequentially setting the plurality of items included in the item selection list to the provisional selected state, so that the need of moving an operation position in order to select a desired item from the item selection list is eliminated to improve operability.SELECTED DRAWING: Figure 1

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.

The invention provides a forming machine which can easily read change information related to items included in forming conditions. An injection molding machine includes: a memory device that stores change information relating to a plurality of items included in a molding condition; a display device that displays a setting screen for setting a setting value in at least one of the plurality of items; an input device that inputs an item selection operation for selecting one item from items of the setting screen displayed on the display device; and a control device that overlaps an item setting history screen on the setting screen and displays the item setting history screen on the display device, the item setting history screen including a change information display unit that displays only change information relating to the item selected by the item selection operation.

The invention discloses a data processing method and device. Determining a transaction item set comprising at least one first transaction item by scanning a target database; scanning the target database again to determine a to-be-used triple and a first utility list corresponding to every two first transaction items; according to the first utility list corresponding to each triad to be used, dividing the first quantization item set corresponding to the at least one triad to be used to obtain at least one quantization item set; and adjusting the at least one quantization item set based on the at least one triad to be used, a first utility list corresponding to the triad to be used and the transaction item set to obtain a target quantization item set, and determining item selection reference information based on the target quantization item set. According to the invention, the accuracy of the determined target quantization item set is improved, so that the item selection reference information corresponding to the target quantization item set can meet the actual demand of a user.

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.

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.

In an example, in response to a request for content, content items may be identified. Content item scores associated with the content items may be determined using a content scoring model. A first ranked list may be generated based upon the content item scores using an exploration model. The first ranked list is indicative of rankings of the content items. A content item selection interface may be generated based upon the first ranked list. The content item selection interface may include selectable objects, corresponding to the content items, arranged according to rankings indicated by the first ranked list.

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.

The application provides an item recommendation method and device based on a collaborative filtering recommendation model, which comprises the following steps: obtaining historical behavior data of a target user, constructing a data sequence based on the historical behavior data, and the data sequence comprises initial vector representations of a plurality of items interacted with the target user; inputting the data sequence into an item recommendation model, determining a user vector representation of the target user, and determining an enhanced vector representation of a target item based on a similar item selection strategy and a vector fusion method based on an attention mechanism; determining a love degree prediction value of the target item for the target user based on the enhanced vector representation of the target item and the user vector representation of the target user, and recommending the target item based on the love degree prediction value, so as to more accurately calculate the love degree of the user for the item and improve the recommendation effect of the item recommendation model.

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.