A hypergraph is constructed based on historical shopping cart data. A node of the hypergraph corresponds to a shopping basket, and a hyperedge of the hypergraph corresponds to a unique product, the hyperedge connecting all nodes of the hypergraph representing baskets containing the unique product. A hypergraph partition algorithm identifies a cluster of shopping baskets represented in the hypergraph and determined to be similar to a given basket. Based on the cluster of shopping baskets a dual-level return prediction is performed. The dual-level return prediction includes predicting whether the given basket will be returned, and based on predicting that the given basket will be returned, predicting a probability that a product in the given basket will be returned. Based on predicting that the given basket will be returned, an ameliorative action is performed to reduce the probability.

In order to attain an example object of providing a service suitable for a user in a virtual space, a virtual space changing apparatus includes: an acquisition section that acquires position information and line-of-sight target information, the position information including a position of a user in a virtual space or a record of the position, and the line-of-sight target information including a line-of-sight target existing in a line-of-sight direction of the user in the virtual space or a record of the line-of-sight target; and a selection section that selects, based on the position information and the line-of-sight target information, a person in charge of dealing with the user in the virtual space.

A method to provide feedback associated with a real estate listing including providing access to a real estate listing via a system including at least a listing recommendation server that communicates with a real estate feedback application. Then receiving feedback regarding the real estate listing from a handheld device operating the real estate feedback application. Then sharing the feedback with a showing agent associated with the real estate listing.

Product providers offer matched prices for the products to the customers through a platform surveying the available prices from sale agents. The platform can determine lowest prices from the sale agents, and use this information to have an agreement with the product providers to sell the products at compatible prices.

Vehicle sales management and video chat systems and methods use website listings that correspond to vehicles for sale at a dealership. A remote visitor clicks a live video button beside a desired vehicle, and schedules a time for a video chat, using their web browser. A dealership salesperson receives an alert, via a sales application running on on the salesperson's mobile device. At the scheduled time, a video chat window opens in the visitor's web browser with live audio/video of the desired vehicle from the dealership in real-time. The website visitor uses their web browser for live communication, in real-time, to the salesperson on their sales application. After the video chat, the website visitor can use their browser to download and save a recording of the video chat session.

Methods and apparatuses are provided for use in monitoring product placement within a shopping facility. Some embodiments provide an apparatus configured to determine product placement conditions within a shopping facility, comprising: a transceiver configured to wirelessly receive communications; a product monitoring control circuit coupled with the transceiver; a memory coupled with the control circuit and storing computer instructions that when executed by the control circuit cause the control circuit to: obtain a composite three-dimensional (3D) scan mapping corresponding to at least a select area of the shopping facility and based on a series of 3D scan data; evaluate the 3D scan mapping to identify multiple product depth distances; and identify, from the evaluation of the 3D scan mapping, when one or more of the multiple product depth distances is greater than a predefined depth distance threshold from the reference offset distance of the product support structure.

A device receives third-party boycott data associated with a merchant, and receives customer preference data associated with a customer of the merchant. The device processes the third-party boycott data and the customer preference data, with a machine learning model, to identify a boycott of the merchant that is predicted to be of interest to the customer. The device provides, to a user device of the customer, information identifying the boycott of the merchant and information that solicits the customer to indicate whether the customer desires to join the boycott, and receives, from the user device, information indicating that the customer desires to join the boycott. The device causes a transaction account associated with the customer to be restricted from a transaction with the merchant when the information indicates that the customer desires to join the boycott.

Systems and methods for facilitating an automated conversation between a user and a virtual agent, is disclosed. The system receives an input message from the user and analyzing an intent of the input message. The system generates a plurality of bids for response to the input message based on the intent of the input message and assign an intent confidence score to each bid of the plurality of bids based on a confidence level of each bid of the plurality of bids. The system determines a winning bid from the plurality of bids based on the intent confidence score associated with each bid of the plurality of bids, and generates a response based on the winning bid.

A method and system for creating and editing video and/or audio tracks is described. The method includes providing at least one artist, venue, and track available for selection and providing at least one clip associated with the at least one artist, venue, and track. The method also includes allowing a user to create a custom track from the at least one clip. The system includes a plurality of video cameras for recording a live performance at a plurality of positions. The system also includes at least one server for storing a plurality of video clips created from the plurality of video cameras and an application stored on the at least one server for allowing a user to access the plurality of video clips via the Internet.

A collaborative platform applies various machine learning techniques to correlate potential purchasers with high-value articles of property that may be of interest. Attributes, characteristics, preferences, and the like of a potential purchaser are scored against attributes and features of articles. The platform learns from interaction by the agents and the potential purchasers to become more attuned to the desires and lifestyle of purchasers and to gain more and more pertinent information from the listing agents regarding high-value articles, so as to ultimately to arrive at a better match between a high value article for sale and a likely purchaser.