Abstract: A system for tracking passenger behaviors of passengers on a commercial passenger vehicle is provided. The system comprises: media playback devices located on the commercial passenger vehicle, the media playback devices being associated with passenger seats and configured to operate in an onboard check-in mode, and an onboard server in communication with the media playback devices and configured to receive, from a media playback device associated with a passenger seat of a passenger, passenger identification information of the passenger and update passenger boarding information to indicate a completion of a boarding process of the passenger. The onboard server is further configured to provide, to at least one of a ground terminal or a crew terminal, passenger boarding information that enables determination of a time interval between a start of the boarding process by each passenger and an end of the boarding process as indicated from the media playback devices.

Abstract: The present disclosure relates to systems and methods for carrying out predictive analysis where a plurality of data sets may be ingested from a data lake. A data analyzer may tag the ingested data sets, detect redundant occurrence of multiple attributes such as, a row, a column, and a list in the tagged data set. The data analyzer may eliminate the detected redundant multiple attributes. Further, a model selector and evaluator may execute a machine learning (ML) model to conduct predictive analysis on the data set. The execution may be done based on a predefined set of instructions stored in a database. The executed ML model may be validated upon determining that the predictive analysis yields a positive response for the transformed data set.

Abstract: Computing devices, systems, and methods for automatically prompting a foreign currency transaction by detecting a trip end condition associated with a registered user with respect to travel to a foreign location associated with a foreign currency. The methods and system may further determine that the registered user has a remaining foreign currency balance, and, as a result, may identify and send to the registered user's mobile device at least one option for using the remaining foreign currency balance. The at least one option may be a merchant offer from a merchant located in the area of the mobile device or may include an option to exchange the foreign currency for another currency. The trip end condition may be detected by determining that the registered user and/or user's mobile device is at an international departure location. The currency exchange may be with another registered user.

Abstract: The present disclosure relates to generating and modifying recommended event sequences utilizing a dynamic user preference interface. For example, in one or more embodiments, the system generates a recommended event sequence using a recommendation model trained based on a plurality of historical event sequences. The system then provides, for display via a client device, the recommendation, a plurality of interactive elements for entry of user preferences, and a visual representation of historical event sequences. Upon detecting input of user preferences, the system can modify a reward function of the recommendation model and provide a modified recommended event sequence together with the plurality of interactive elements. In one or more embodiments, as a user enters user preferences, the system additionally modifies the visual representation to display subsets of the plurality of historical event sequences corresponding to the preferences.

Abstract: Embodiments set forth techniques for managing advertisement auctions on a client device. The method can include the steps of (1) receiving, from a server device, a plurality of objects, where each object is associated with a respective digital asset, and each object includes, in association with the respective digital asset (i) a server-derived digital asset vector, (ii) a server-derived predicted tap-through rate, and (iii) a bid amount. In turn, and for each object of the plurality of objects, the client device (2) generates a respective estimated cost per impression for the object based on the information provided by the server device as well as information derived by the client device. Subsequently, the client device (3) identifies, among the plurality of objects, the object associated with the highest respective estimated cost per impression, and (4) causes an advertisement for the respective digital asset associated with the identified object to be displayed.

Abstract: A computer-implemented method for determining alternative plans for a user may include: determining an event status of an event based on one or more parameters, wherein the event status comprises a target event indicator, wherein the one or more parameters comprise event population; obtaining event data of a target event; obtaining transactional data of the user, wherein the transactional data includes transaction time and transaction location; determining, via one or more processors, a likelihood of a potential transaction of the user associated with the target event by processing the transactional data and the event data using a trained machine learning model; and transmitting, to the user, a notification based on the determined likelihood of the potential transaction, wherein the notification includes a suggestion for alternative travel plans of the user.

Abstract: A method, computer system, and a computer program product is provided for computer log management. In one embodiment, in response to receiving a log request from a user, an input content is analyzed and adjusted according to input contents and user's previous activities. A similarity analysis and a fairness analysis is performed to determine similarities between the input content, as adjusted, and a plurality of log records in an object library. The similarity analysis includes analyzing any patterns and attributes. The attributes have a dimension, and each dimension has a predefined weight (W). The fairness analysis ensures that one type of log is not favored over others. A best possible match is then determined, and one or more logs are presented to the user providing the best possible match.

Abstract: Methods, systems, and computer program products for facilitating user selection using trend-based joint embeddings are provided herein. A method includes obtaining a selection of an item in an online catalog; determining a compatible item of the plurality of items at least in part by providing the selected at least one item and at least one previously selected item corresponding to the user to a trend-based machine learning model, wherein the trend-based machine learning model is trained on historical data associated with the item in the online catalog and fine-tuned based on current trend data from multiple data sources; receiving feedback in response to outputting the at least one compatible item; identifying one or more attributes related to the at least one compatible item based on the feedback; and using the trend-based machine learning model to determine at least one additional compatible item based on the one or more attributes.

Abstract: Item vectors representing transaction contexts for items are mapped to multidimensional space. A request is received for an alternative to a given item from a resource. The multidimensional space is evaluated to identify closest candidate items to the given item based on the corresponding item vectors. An optimal candidate item is selected from the candidate items based on the request. The association between the given item and the optimal candidate item is injected within a process workflow associated with the resource.

Abstract: A speech recognition platform configured to receive an audio signal that includes speech from a user and perform automatic speech recognition (ASR) on the audio signal to identify ASR results. The platform may identify: (i) a domain of a voice command within the speech based on the ASR results and based on context information associated with the speech or the user, and (ii) an intent of the voice command. In response to identifying the intent, the platform may perform multiple actions corresponding to this intent. The platform may select a target action to perform, and may engage in a back-and-forth dialog to obtain information for completing the target action. The action may include streaming audio to the device, setting a reminder for the user, purchasing an item on behalf of the user, making a reservation for the user or launching an application for the user.

Abstract: Aspects of the disclosure relate to use of supervised, unsupervised, semi-supervised, or reinforcement-based machine learning algorithm(s) to perform pattern recognition and/or cluster detection on historical transactional data in order to predict events that may occur in the future and are candidates for automated delivery of items from a source to a customer in a contactless manner, via a secure delivery device, to minimize health risk(s) to the customer. The items may be securely delivered in an automated manner such as, for example, by use of a drone or autonomous vehicle, which may have advanced sensors to facilitate various aspects of the delivery. The items may be contained in a secure carrier coupled to the delivery device and may be unlocked locally or remotely using mechanical or digital means. Novel logical systems, architectures, machines, platforms, delivery devices and components thereof, and methods are disclosed.

Abstract: A method and system for improved management of a purchase order comprises searching online for at least one product or group of products similar to each other to be ordered from a generic supplier and obtaining a confirmation of availability. The step of searching for the product to be ordered from the generic supplier can be extended to search for the product or the group of products or alternative products available at at least one alternative supplier. The product or group of products or the alternative products found at the alternative supplier are inserted into a shopping cart of the alternative supplier and compared with the product or the group of products of the generic supplier. The extension of the search is started automatically by a search and compare software application authorized by the user and provided by the alternative supplier.

Abstract: Systems and methods for item price assignment. A line recommendation engine receives unassigned records from a queue and stores one or more line recommendations for the unassigned item record in a recommendation database. The line recommendation engine can determine a new line should be recommended, and/or which existing lines the unassigned item record could be assigned to. A user interface can display the one or more line recommendations for the unassigned item record to a user and receive an input indicating a selected line identifier for the unassigned item record. A machine learning engine can modify a parameter of the line recommendation engine based on the selected line identifier.

Abstract: Systems and methods for publishing content are provided. One method includes generating a content item template for a content item configured for publication within one or more resources. The method further includes storing the content item template within a memory for later publication. The method further includes receiving input data from the content provider and detecting a trigger signal associated with the content item. The method further includes entering the content item into an auction in response to detecting the trigger signal. The method further includes adding the input data provided by the content provider via the interface to the content item template to generate the content item prior to publication of the content item within the one or more resources.

Abstract: A search results user interface enables a user conducting a search of an electronic catalog to identify and access browse nodes (item categories) associated with the search query when the search query is determined to be broad. In one embodiment, if the catalog items that are responsive to the search query fall within more than a threshold number of browse nodes, a search results page is presented that provides functionality for the user to view the browse nodes associated with the search query and to navigate to associated browse node pages.

Abstract: In some implementations, an event timeline that includes one or more interactions between a customer and a supplier may be determined. A starting value may be assigned to individual events in the event timeline. A sub-sequence comprising a portion of the event timeline that includes at least one reference event may be selected. A classifier may be used to determine a previous relative value for a previous event that occurred before the reference event and to determine a next relative value for a next event that occurred after the reference event until all events in the event timeline have been processed. The events in the event timeline may be traversed and a monetized value index assigned to individual events in the event timeline.

Abstract: A contents sharing network is provided. An operating method of a control device includes determining a current state of possible states in a contents sharing process over a network; and displaying an icon indicating the current state among a plurality of predefined icons. The states are defined as a combination of at least one item of network connection, device discovery, a type of the discovered device, the number of the discovered devices, and existence of an available additional service.

Abstract: Systems and methods for entity recommendation can make use of rich data by allowing the items to be recommended and the recipients of the recommendation (e.g., users) to be modeled as “complex entities” composed of one or more static sub-entities and/or a dynamic component, and by utilizing information about multiple relationships between the sub-entities as reflected in bipartite graphs. Generating recommendations from such information may involve creating vector representations of the sub-entities based on the bipartite graphs (e.g., using graph-based convolutional networks), and combining these vector representations into representations of the items and users (or other recipients) to be fed into a classifier model.

Abstract: Disclosed are various embodiments for providing an efficient and time-saving shopping experience by allowing a user to initiate a purchase of items corresponding to items included in an item list (e.g., shopping list) while minimizing user interactions. A user may initiate a shopping experience via a voice command and/or an interaction with a user interface associated with a list management service. Using keywords included in the item list, a list of recommended items that correspond to items included in the shopping list and are available for purchase at a particular store can be determined and presented to the user. Item listings may be preselected for purchase based at least in part on a determined likelihood that the user will purchase the item. The user can review the recommended items and select a purchase component (e.g., add-to-cart component, buy component), that upon selection, initiates the purchase of the selected items.

Abstract: A method includes receiving an order request associated with a user and a first physical product, adding the order request to a list of order requests, and causing a first graphical user interface (GUI) to display a livestream video and the list of order requests. Responsive to receiving user selection of the order request from the list of order requests, the method further includes generating a timestamp associated with the user selection, and causing the first GUI to be updated to indicate the first physical product associated with the order request is being shown via the livestream.

Abstract: Aspects described herein may relate to methods, systems, and apparatuses that provide new capabilities for recommending purchases to a user based on the user's past purchasing history and the purchase history of others. A new descriptor referred to as “purchase embeddings” is disclosed, which are data records in a new multi-dimensional space for describing and tracking purchases of goods and services.

Abstract: A cross-entity and cross-retailer platform is provided that captures transaction data, indexes, and stores the data in a cloud-accessible data store. A service is provided that custom processes retailer and entity-defined workflows based on purchase transactions using the data store. The service also generates and maintains correlations between items, the transactions, geographical locations, retailers, and stores of the retailers. The correlations are provided as timely retail recommendations to the retailers and entities for suggested changes that are likely to optimize purchase transactions. The entities may comprise manufacturers of an item, a supplier of the item, a distributor of the item, and a Consumer Packaging Goods (CPG) company of the item.

Abstract: Systems and methods provide customizable insurance according to consumer preferences and attributes. An enhanced attributes analysis server may analyze the attributes of a consumer and match these attributes with attributes of current customers of an entity managing the server. The insurance products/plans preferred by the matched customers may then be used to present insurance options to the consumer. In addition, the server may further customize insurance options based on answers to questions that relate to the consumer's specific situation. Further still, the consumer's social network may be used to understand insurance products/plans that may be preferred by the consumer.

Abstract: Systems and methods are described for generating efficient iterative electronic recommendation structures. In various aspects, one or more processors aggregate a plurality of ratings vectors, where each ratings vector is associated with a vector type and contains one or more content ranking metrics associated with one or more users. The one or more processors generate similarity pairing values from the plurality of ratings vectors, where each similarity pairing value is based on a similarity mapping between a first ratings vector and a second ratings vector. The one or more processors further generate an electronic recommendation structure based on the similarity pairing values, where the electronic recommendation structure includes a bi-directional look-up interface that is configured to return a bi-directional recommendation value after receiving a lookup request for either the vector type of the first ratings vector or the vector type of the second ratings vector.

Abstract: Methods and systems are described for improved techniques for consuming and interacting with media content. Specifically, a media guidance application may present a holographic structure using a holographic interface. Moreover, the media guidance application may monitor the user and/or area about the holographic interface for user interactions that may cause the media guidance application to alter the holographic structure based on a user interaction. The media guidance application may also after altering the holographic structure, generate for display a media asset associated with the holographic structure.

Abstract: Systems, methods and apparatus are disclosed involving an online gaming platform, and in a particular embodiment, to an entertainment and educational system involving a marketplace comprising a plurality of vendors, a plurality of marketplace video games, and a plurality of game configurations; wherein each marketplace video game of the plurality of marketplace video games is available from at least one vendor of the plurality of vendors; wherein each game configuration of the plurality of game configurations is available from at least one vendor of the plurality of vendors for use with or within at least one configurable video game; and wherein each configurable video game is one of the plurality of marketplace video games available on the marketplace, or a third-party video game not available on the marketplace.

Abstract: Passenger information messages (“PIMs”) are generated using table-driven segment systems and methods. Message segments may be paired with token names. Passenger information associated with an airline flight are substituted for the token names. The passenger information and message segments are arranged to generate a PIM for the airline flight.

Abstract: Systems and methods of generating active notifications for users of a networked computer system using transportation service prediction are disclosed herein. In some example embodiments, a computer system uses a prediction model to generate a transportation service prediction for a user based on an identification of the user, location data for the user, prediction time data, and historical user data for instances of the user using the transportation, and then causes a notification to be displayed on a computing device of the user based on the transportation service prediction, with the notification indicating a recommended use of the transportation service in association with the place for the time of day and the day of the week, and the notification comprising a selectable user interface element configured to enable the user to submit an electronic request for the recommended use of the transportation service.

Abstract: Disclosed herein is a system and method for public housing evaluation including a computer-implemented public housing evaluation unit that receives survey data from a remotely connected survey device. The survey data comprises information about the physical environment of one or more public housing residents that is used to create a digital public housing environment profile for each survey participant. A plurality of digital public housing environment profiles may be statistically analyzed to create a public housing index identifying interrelationships among physical environment and demographic data in the digital public housing environment profiles. Public housing authority computers may access and view the public housing index to determine whether actions may be taken that may improve a public housing resident's physical environment and/or likelihood that they may successfully transition out of public housing.

Abstract: Some embodiments provide systems to identify products comprising: product vector database; a plurality of portable computing devices comprising a camera and a control circuit configured to: access an image captured by the camera; perform an optical character recognition on the image; apply a vector modeling rule to key text, generate a first query product vector and wirelessly communicate the first query product vector to the product recommendation system; the product recommendation system is configured to apply a vector evaluation rule to the first query product vector to identify a first product; and wirelessly communicate to the portable computing device the first product identifier; wherein the control circuit receives the first product identifier, accesses a product information, causes product information to be displayed; and causes the first product to be virtually added to a virtual cart.

Abstract: Provided is a natural language processing system for determining a merchant based on a natural language query. The system may include a processor to receive a natural language query, convert at least one word of the natural language query to a vector using at least one neural network to form a set of vectors, determine a vector distance from the set of vectors to each profile in a set of profiles, rank the set of profiles based on the vector distance of each profile to the set of vectors, communicate merchant data associated with at least one merchant included in the set of profiles to the user device, receive a selection of a first merchant associated with the merchant data from the user device, and schedule an appointment with the first merchant for a user of the user device. A computer program product and method are also disclosed.

Abstract: Systems and methods including one or more processors and one or more non-transitory storage devices storing computing instructions configured to run on the one or more processors and perform acts of: providing a machine learning architecture that is configured to evaluate expensiveness of items relative to each other, wherein the items are included in an item type category; receiving prices associated with the items included in the item type category; generating, using a price band determination model associated with the machine learning architecture, price bands based, at least in part, on the prices associated with the items, each of the price bands being associated with separate price range boundaries for the item type category; and assigning each of the items to one of the price bands. Other embodiments are disclosed herein.

Abstract: Methods and systems are presented for classifying an item by dynamically probing different consumers for information related to the item. A description of the item may be parsed to identify a set of questions related to the item for probing consumers for additional information related to the item. The set of questions may be stored in a random forest associated with the item. The random forest may be traversed to select one or more subset of questions for probing a consumer for additional information. Once answers are obtained from a consumer based on the probing, the answers may be compiled with other answers stored in the random forest obtained from other consumers. The compiled answers may be used to generate an item classification for the item and may also be used to modify the random forest.

Abstract: Novel system, methods, which include machine learning, and device for providing color, mapping and fashion recommendations, including for persons with visual impairment such as color blindness or complete blindness.

Abstract: Systems and methods are disclosed for providing purchase recommendations. According to some examples, a method may include: determining respective frequency distributions of a plurality of vehicle attributes, the frequency distributions being determined based on occurrences of values of the plurality of vehicle attributes in a set of vehicles; selecting a vehicle attribute from the plurality of vehicle attributes based on the frequency distributions of the plurality of vehicle attributes; transmitting, to a user device, an inquiry for user preference regarding the selected vehicle attribute; receiving, from the user device, a response indicating the user preference; and presenting, to the user device, a recommendation of one or more vehicles determined based on the received response.

Abstract: A merchant can use an e-commerce platform to sell products to customers, and customers can use the e-commerce platform to return items that they are unsatisfied with back to the merchant. These product returns have an associated cost. Embodiments of the present disclosure relate to computer-implemented systems and methods to enable customer-to-customer product returns in an e-commerce platform. In a customer-to-customer return, a first customer that wants to return an item of a particular product is connected with a second customer that wants to purchase that product. The e-commerce platform then facilitates a shipment of the item from the first customer directly to the second customer. Embodiments of the present disclosure include online store implementations of customer-to-customer returns, and online marketplace implementations of customer-to-customer returns.

Abstract: A method for database reconciliation, comprising: receiving, from one or more sources, attribute data of a plurality of attribute data types representing aspects of a product; generating a plurality of attribute categories based on the received attribute data types, each attribute category corresponding to one of the received attribute data types and containing all attribute data of the one of the received attribute data type; determining data scores for each of the attribute data contained in each of the plurality of attribute categories; generating reconciled data for each of the attribute categories, the reconciled data being the attribute data in each of the attribute categories having the highest data score; storing in a database, the plurality of attribute categories each containing reconciled data corresponding to the product; and providing, from the database, the reconciled data for display on a display interface.

Abstract: Described herein are, among other things, techniques, devices, and systems for generating personalized game-notification feeds for users. In some instances, a remote computing system that offers one or more games for acquisition may determine which notifications generated by respective game publishers are likely to be of interest to different users and, after doing so, may generate personalized game-notification feeds comprising the selected notifications. Further, each of the users may provide feedback regarding one or more of the notifications in the notification feed, which the system may use to re-select notifications and re-generating personalized game-notification feeds.

Abstract: Fairness of a trained classifier may be ensured by generating a data set for training, the data set generated using input data points of a feature space including multiple dimensions and according to different parameters including an amount of label bias, a control for discrepancy between rarity of features, and an amount of selection bias. Unlabeled data points of the input data comprising unobserved ground truths are labeled according to the amount of label bias and the input data sampled according to the amount of selection bias and the control for the discrepancy between the rarity of features. The classifier is then trained using the sampled and labeled data points as well as additional unlabeled data points. The trained classifier is then usable to determine unbiased classifications of one or more labels for one or more other data sets.

Abstract: Disclosed herein are systems and methods for personal taste recommendation. In one implementation, an image set is obtained at a recommendation system. The image set has at least one image of a wine list menu having one or more wines for a dining location, and the image set is captured using a camera of a user device. An identified wine is generated for each of the one or more wines on the wine list menu based on a match to a known wine. A personalized wine menu unique to a particular user set for the dining location is generated by generating a personalized taste match of the particular user set for each of the one or more identified wines.

Abstract: Systems and methods of generating, for display on a graphical user interface (GUI), a personalized advertisement. The systems and methods can include receiving data indicative of initiating a browsing session, aggregating user activity data associated with a user of the application, the user activity data including current session data and/or past session data, applying machine learning on the user activity data to generate one or more excluded products, applying the one or more excluded products to a product database to generate a list of relevant products, ranking, using one or more ranking rules, the list of relevant products to generate a ranked list of relevant products, and sending, to the mobile device, the personalized advertisement including one or more relevant products from the ranked list of relevant products.

Abstract: Disclosed are systems, methods, and non-transitory computer-readable media for message timing optimization. A message timing optimization system determines optimized times to transmit messages to users based on historical transaction data. For example, the message timing optimization system may determine an optimal time to transmit a recommendation message to a user to perform a subsequent, such as repurchasing an item, refreshing a password, and the like. The message timing optimization system uses historical transaction data describing previous transactions performed by the user and/or other users to determine probability values indicating the likelihood that a user will perform a subsequent action at various time periods after the user performed an initial transaction.

Abstract: An end-user device operable in a retail store records a voice conversation held in the retail store. The recording is transmitted to a server for comparing it to recordings of other conversations from a plurality of other retail stores. The server makes a recommendation based on the comparing. Embodiments of the invention are also directed to an analytics system that collects real-time metrics data for various virtual or physical retail stores associated with a plurality of contact centers. The system performs real-time analytics of the collected metrics data for identifying a product or service. The processor modifies, based on the real-time analytics, a prior service or product to be offered by a particular retail store, with the identified service or product. The processor pushes the modified service or product for display on the end-user device use in the particular retail store.

Abstract: A product/service recommendation expert system including a server; at least one consumer computer that is linked, via a distributed network, to the server; and at least one management computer that is linked, via a distributed network, to the server; wherein the server includes at least some of a product/service profile database for storing and/or updating product/service information for a plurality of products/services, a criteria database for storing and/or updating evaluation criteria by which a product/service is evaluated, and at least one first consumer profile database for storing and/or updating consumer profile information for a plurality of consumers; and at least one second consumer profile database, wherein the second consumer profile database contains at least some previously stored, supplemental consumer profile information, wherein the supplemental consumer profile information includes at least some consumer profile information that is different from the consumer profile information in the firs

Abstract: A method for suggesting collaboration between a plurality of users of a communication system includes determining that a user action is performed with respect to a first document associated with a first user of the plurality of users, identifying a collaborative similarity between the first document and a second document associated with a second user of the plurality of users, generating a collaboration suggestion for collaboration between the first user and the second user with respect to the content of the first document and the second document, providing the collaboration suggestion to collaborate with respect to the content of the first document and the second document to the first user, receiving an indication of an acceptance of the collaboration suggestion to collaborate with respect to the content of the first document and the second document from the first user, and causing a collaboration session to be established between the first user and the second user to collaborate with respect to the content

Abstract: Methods and systems for determining information of applications are described herein. A computing device may receive, from one or more client devices, data indicating application usage events. The computing device may determine, based on the data, popular applications that a target user regularly uses. The computing device may determine, based on the data, recommended applications that users similar to the target user regularly use. The computing device may determine, based on the popular applications and/or the recommended applications, a collection of applications for the target user. The collection of applications may be displayed on a user interface of a client device associated with the target user for expedited access of interested applications.

Abstract: The present disclosure is related to object recognition and tracking using multi-camera driven machine vision. In one aspect, a method includes capturing, via a multi-camera system, a plurality of images of a user, each of the plurality of images representing the user from a unique angle; identifying, using the plurality of images, the user; detecting, throughout a facility, an item selected by the user; creating a visual model of the item to track movement of the item throughout the facility; determining, using the visual model, whether the item is selected for purchase; and detecting that the user is leaving the facility; and processing a transaction for the item when the item is selected for purchase and when the user has left the facility.

Abstract: The present invention provides a content feed to a user, where the content feed is related to a registry and a registry event having an event timeline. The system receives a request for a content feed for a user from a client application. A plurality of sessions of content items is provided iteratively to the client application for rendering the content items in a user interface where a new session is added to the feed history for the user when the previous session expires. For each session, content items related to the user’s registry or registry event are grouped into the session. The session is added to a feed history for the user, an expiration time is set for the session, and the feed history including the content items in the session and all previous sessions are provided to the user interface in the client application.

Abstract: A computer-implemented method of purchasing gifts includes under control of one or more configured computing systems, selecting a gift item desired by a gift recipient, maintaining a list for the gift recipient that includes the selected gift item, and assigning a sales price to the selected gift item on the list. On a visual display, a processor is used for dividing the selected gift item into two or more gift parts that are available for individual purchase by gift contributors. The selected gift item is divided into the two or more gift parts on the visual display by showing a boundary on the visual display that defines a bounded area, showing the selected gift item on the visual display, inside the bounded area and surrounded by the boundary, and generating at least one dividing line inside the bounded area that divides the bounded area into two or more individual sections that are visible on the visual display, whereby each of the gift parts is located inside a different one of the individual sections.

Abstract: The present invention is a computer implemented method for determining and conforming the position of electrical systems within a building, comprising: analyzing a model, wherein the model is comprised of a plurality of members; identifying an electrical system, wherein the electrical system is integrated into the model; identifying where the electrical system interfaces with the plurality of members; isolating the group of members which interface with the electrical system; calculating a set of actual values associated with the interfaces between the electrical system and the group of members; comparing the actual values to a required value, and determining if the actual value is within a predetermined range of the required value; and generating a list of interfaces which the actual value it outside the predetermined range of the actual values.